255 lines
61 KiB
Markdown
255 lines
61 KiB
Markdown
## 模型类别名称与对应领域
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audio: Audio，音频
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cv-3D_det: Computer Vision - 3D Object Detection，视觉-3D目标检测
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cv-ar: Computer Vision - Action Recognition，视觉-行为识别
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cv-cd: Computer Vision - Change Detection，视觉-变化检测
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cv-cls: Computer Vision - Classification，视觉-分类
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cv-det: Computer Vision - Object Detection，视觉-2D目标检测
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cv-drive_perception: Computer Vision - Driving Perception，视觉-驾驶感知
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cv-ge: Computer Vision - Gaze Estimation，视觉-视线估计
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cv-img_fusion: Computer Vision - Image Fusion，视觉-数据融合
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cv-kpt: Computer Vision - Keypoint Detection，视觉-关键点检测
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cv-match: Computer Vision - Image Matching，视觉-图像配准
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cv-mot: Computer Vision - Multi-Object Tracking，视觉-多目标追踪
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cv-ofe: Computer Vision - Optical Flow Estimation，视觉-光流估计
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cv-seg: Computer Vision - Segmentation，视觉-图像分割
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cv-sod: Computer Vision - Salient Object Detection，视觉-显著性检测
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cv-sot: Computer Vision - Single Object Tracking，视觉-单目标追踪
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cv-sr: Computer Vision - Super Resolution，视觉-超分辨率
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drl: Deep Reinforcement Learning，决策-深度强化学习
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nlp: Natural Language Processing，自然语言处理
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ts-tsf: Time Series - Time Series Forecasting，时序-时序预测
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## paddle
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#### cv-det
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:---------------------------------------------------------------------------------------|:----------------------------|:--------------|:------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|
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| [ppyoloe](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/paddle/ppyoloe) | ppyoloe_plus_crn_s_80e_coco | 1x3x640x640 | 8bit: 22.35952ms <br>16bit: 41.37555ms <br>mixed: None <br> | float: ['ap50-95:0.437'] <br>8bit: ['kld-pt', 'ap50:0.552; ap50-95:0.385'] <br>16bit: ['kld-pt', 'ap50:0.584; ap50-95:0.411'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [ppyolov5](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/paddle/ppyolov5) | ppyolov5s | 1x3x640x640 | 8bit: 5.78ms <br>16bit: 13.32ms <br>mixed: 6.28ms <br> | float: ap50:0.568; ap50-95:0.374 <br>8bit: ['kld-pc', 'ap50:0.559; ap50-95:0.345'] <br>16bit: ['kld-pc', 'ap50:0.567; ap50-95:0.365'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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## pytorch
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#### audio
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:------------------------------------------------------------------------------------------|:-----------------------|:--------------|:--------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------|
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| [CAM++](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/CAM++) | CAM++ | 1x365x80 | 8bit: 14.09ms <br>16bit: 19.569ms <br>mixed: None <br> | float: ['EER:0.14227', 'MinDCF:0.66743'] <br>parse: ['EER:0.14908', 'MinDCF:0.68947'] <br>int8: ['kld-pc', 'EER:0.15173', 'MinDCF:0.71847'] <br>int16: ['kld-pc', 'EER:0.14892', 'MinDCF:0.69324'] <br>mixed: None <br> | [CNceleB](https://www.openslr.org/resources/82/cn-celeb_v2.tar.gz) |
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| [EcapaTDNN](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/EcapaTDNN) | EcapaTDNN | 1x398x80 | 8bit: 2.5580ms <br>16bit: 5.4981ms <br>mixed: None <br> | float: 94.647 <br>parse: 94.508 <br>int8: ['kld-pc', 93.94] <br>int16: ['kld-pc', 94.165] <br>mixed: None <br> | [UrbanSound8K](https://aistudio.baidu.com/datasetdetail/36625) |
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| [ERes2Net](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ERes2Net) | ERes2Net | 1x365x80 | 8bit: 10.84ms <br>16bit: 23.895ms <br>mixed: None <br> | float: ['EER:0.13567', 'MinDCF:0.63016'] <br>parse: ['EER:0.14199', 'MinDCF:0.64854'] <br>int8: ['EER:0.16007', 'MinDCF:0.68218'] <br>int16: ['EER:0.14276', 'MinDCF:0.66264'] <br>mixed: None <br> | [CNceleB](https://www.openslr.org/resources/82/cn-celeb_v2.tar.gz) |
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| [Res2Net](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/Res2Net) | Res2Net | 1x398x80 | 8bit: 0.917ms <br>16bit: 1.661ms <br>mixed: None <br> | float: 93.241 <br>parse: 93.249 <br>int8: ['kld-pc', 92.68] <br>int16: ['kld-pc', 93.25] <br>mixed: None <br> | [UrbanSound8K](https://aistudio.baidu.com/datasetdetail/36625) |
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| [ResNetSE](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ResNetSE) | ResNetSE | 1x398x80 | 8bit: 16.288ms <br>16bit: 33.374ms <br>mixed: None <br> | float: 96.54 <br>parse: 96.453 <br>int8: ['kld-pc', 96.11] <br>int16: ['kld-pc', 96.453] <br>mixed: None <br> | [UrbanSound8K](https://aistudio.baidu.com/datasetdetail/36625) |
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| [TDNN](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/TDNN) | TDNN | 1x398x80 | 8bit: 0.501ms <br>16bit: 1.031ms <br>mixed: None <br> | float: 94.368 <br>parse: 93.935 <br>int8: ['kld-pc', 92.22] <br>int16: ['kld-pc', 93.935] <br>mixed: None <br> | [UrbanSound8K](https://aistudio.baidu.com/datasetdetail/36625) |
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#### cv-3D_det
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:----------------------------------------------------------------------------------|:-----------------------|:--------------|:------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|
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| [SFA3D](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/SFA3D) | SFA3D | 1x3x608x608 | 8bit: 198.1865ms <br>16bit: 219.5726ms <br>mixed: None <br> | float: Car:3d:Easy_ap50:87.05; Moderate_ap50:83.24; Hard_ap50:85.20 <br>8bit: ['kld-pc', 'Car:3d:Easy_ap50:75.65; Moderate_ap50:74.43; Hard_ap50:78.28'] <br>16bit: ['kld-pc', 'Car:3d:Easy_ap50:87.16; Moderate_ap50:83.31; Hard_ap50:85.26'] <br>mixed: None <br> | [KITTI](https://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d) |
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#### cv-ar
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:------------------------------------------------------------------------------|:-----------------------|:--------------|:-------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------|
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| [TSN](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/TSN) | TSN | 1x3x224x224 | 8bit: 5.804ms <br>16bit: 11.639ms <br>mixed: None <br> | float: Top1 acc:72.78; Top5 acc:90.66;Mean acc:72.77 <br>parse: ['-', 'Top1 acc:69.59; Top5 acc:88.47;Mean acc:69.59'] <br>8bit: ['null-pc', 'Top1 acc:68.71; Top5 acc:88.19;Mean acc:68.75'] <br>16bit: ['null-pc', 'Top1 acc:69.36; Top5 acc:88.46;Mean acc:69.36'] <br>mixed: None <br> | [Kinetics-400](https://openxlab.org.cn/datasets/OpenMMLab/Kinetics-400) |
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#### cv-cd
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:----------------------------------------------------------------------------------|:-----------------------|:--------------|:---------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:----------|
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| [A2Net](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/A2Net) | A2Net | 1x3x256x256 | 8bit: 6.0586ms <br>16bit: 10.3644ms <br>mixed: None <br> | float: none <br>8bit: ['none', 'mIou:none'] <br>16bit: ['none', 'mIou:none'] <br>mixed: None <br> | []() |
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#### cv-cls
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:--------------------------------------------------------------------------------------------|:-----------------------|:--------------|:------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|
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| [PointNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/PointNet) | PointNet-cls | 1x3x1024 | 8bit: 0.841 ms <br>16bit: 1.814 ms <br>mixed: None <br> | float: ['top-1:73.3(official:86.0)'] <br>8bit: ['kld-pc', 'top-1:70.5'] <br>16bit: ['kld-pc', 'top-1:70.9'] <br>mixed: None <br> | [ModelNet40](http://modelnet.cs.princeton.edu/ModelNet40.zip) |
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| [SeResNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/SeResNet) | SeResNet34 | 1x3x224x224 | 8bit: 3.676279ms <br>16bit: 7.263851ms <br>mixed: None <br> | float: ['top1:95.5%'] <br>8bit: ['kld-pt', 'top1:94.7%'] <br>16bit: ['kld-pt', 'top1:94.4%'] <br>mixed: None <br> | [Flower](https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz) |
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| [ShuffleNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ShuffleNet) | ShuffleNet | 1x3x224x224 | 8bit: 4.067 ms <br>16bit: 3.791 ms <br>mixed: None <br> | float: ['top-1:69.88'] <br>8bit: ['kld-pc', 'top-1:67.14'] <br>16bit: ['kld-pc', 'top-1:68.00'] <br>mixed: None <br> | [imagenet2012val](https://image-net.org/download.php) |
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| [strongReid](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/strongReid) | strongReid | 1x3x256x128 | 8bit: 3.4699 ms <br>16bit: 7.2025 ms <br>mixed: None <br> | float: ['map:85.9'] <br>parse: ['map:85.9'] <br>8bit: ['kld-pt', 'map:83.3'] <br>16bit: ['kld-pt', 'map:84.8'] <br>mixed: None <br> | [Market1501](http://www.liangzheng.org/Project/project_reid.html) |
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| [swin](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/swin) | swin_tiny | 1x3x224x224 | 8bit: 15.5495ms <br>16bit: 38.0375ms <br>mixed: None <br> | float: ['top1:81.2%', 'top5:95.3%'] <br>parse: ['top1:81.2%', 'top5:95.3%'] <br>8bit: ['ems-pc', 'top1:70.82%', 'top5:89.22%'] <br>16bit: ['ems-pc', 'top1:74.80%', 'top5:92.08%'] <br>mixed: None <br> | [imagenet2012val](https://image-net.org/download.php) |
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| [yolov8_cls](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov8_cls) | yolov8_cls | 1x3x224x224 | 8bit: 0.93041ms <br>16bit: 1.94144ms <br>mixed: None <br> | float: ['top1:72.71%', 'top5:91.09%'] <br>8bit: ['ems-pc', 'top1:69.33%', 'top5:88.66%'] <br>16bit: ['ems-pc', 'top1:71.39%%', 'top5:90.29%'] <br>mixed: None <br> | [imagenet2012val](https://image-net.org/download.php) |
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#### cv-det
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:------------------------------------------------------------------------------------------------|:-----------------------|:--------------|:------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|
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| [detr](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/detr) | detr | 1x3x640x640 | 8bit: 41.08815ms <br>16bit: 94.3828ms <br>mixed: None <br> | float: ['ap50:0.558', 'ap50-95:0.365'] <br>8bit: ['kld-pc', 'ap50:0.276', 'ap50-95:0.129'] <br>16bit: ['kld-pc', 'ap50:0.532', 'ap50-95:0.343'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [SLBAF-Net](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/SLBAF-Net) | SLBAF | 1x3x608x608 | 8bit: 6.45ms <br>16bit: 22.3509ms <br>mixed: None <br> | float: ap50:95.5; ap50-95:71.5 <br>8bit: ['kld-pc', 'ap50:92.0; ap50-95:58.0'] <br>16bit: ['kld-pc', 'ap50:93.7; ap50-95:66.9'] <br>mixed: None <br> | [M3FD](https://drive.google.com/drive/folders/1H-oO7bgRuVFYDcMGvxstT1nmy0WF_Y_6) |
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| [yolo11](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolo11) | yolo11s | 1x3x640x640 | 8bit: 9.37ms <br>16bit: 20.44ms <br>mixed: 10ms <br> | float: ['ap50-95:0.47'] <br>parse: ['ap50-95:0.47'] <br>int8: ['ems-channel', 'ap50-95:0.414'] <br>int16: ['ems-channel', 'ap50-95:0.435'] <br>mixed: ['ems-channel', 'ap50-95:0.427'] <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov10](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov10) | yolov10n | 1x3x640x640 | 8bit: 7.065 ms <br>16bit: 9.263 ms <br>mixed: None <br> | float: ['ap50-95:38.5'] <br>8bit: ['kld-pc', 'ap50:52.2', 'ap50-95:36.6'] <br>16bit: ['kld-pc', 'ap50:53.0', 'ap50-95:37.3'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov5s6](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov5s6) | yolov5s6 | 1x3x1280x1280 | 8bit: 27.67ms <br>16bit: 59.36ms <br>mixed: None <br> | float: ap50:0.637; ap50-95:0.448 <br>int8: ['kld-pc', 'ap50:0.627; ap50-95:0.406'] <br>int16: ['kld-pc', 'ap50:0.632; ap50-95:0.428'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov5_7.0](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov5_7.0) | yolov5s | 1x3x640x640 | 8bit: 5.8499ms <br>16bit: 13.3739ms <br>mixed: None <br> | float: ap50:56.8; ap50-95:37.4 <br>int8: ['kld-pc', 'ap50:55.1; ap50-95:34.7'] <br>int16: ['kld-pc', 'ap50:56.2; ap50-95:37.1'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov5_hrsid](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov5_hrsid) | yolov5s_hrsid | 1x1x640x640 | 8bit: 5.67248ms <br>16bit: 13.0066ms <br>mixed: None <br> | float: None <br>int8: ['kld-pc'] <br>int16: ['kld-pc'] <br>mixed: None <br> | |
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| [yolov5_obb](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov5_obb) | yolov5m_obb | 1x3x1024x1024 | 8bit: 37.98692ms <br>16bit: 80.97194ms <br>mixed: None <br> | float: ap50:69.6; ap50-95:41.72 <br>parse: ap50:68.97; ap50-95:41.32 <br>int8: ['kld-pc', 'ap50:67.05; ap50-95:39.39'] <br>int16: ['kld-pc', 'ap50:67.71; ap50-95:40.73'] <br>mixed: None <br> | [DOTA-v1.5](https://captain-whu.github.io/DOAI2019/dataset.html) |
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| [yolov6](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov6) | yolov6s_v2 | 1x3x640x640 | 8bit: 5.97849ms <br>16bit: 14.116316ms <br>mixed: None <br> | float: ['ap50-95:43.3'] <br>8bit: ['kld-pt', 'ap50:58.0; ap50-95:40.7'] <br>16bit: ['kld-pt', 'ap50:58.7; ap50-95:42.0'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov7](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov7) | yolov7 | 1x3x640x640 | 8bit: 23.4645ms <br>16bit: 52.7983ms <br>mixed: None <br> | float: ap50:0.697 <br>8bit: ['kld-pc', 'ap50:0.685'] <br>16bit: ['kld-pt', 'ap50:0.691'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov8](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov8) | yolov8n | 1x3x640x640 | 8bit: 4.035274ms <br>16bit: 8.244985ms <br>mixed: None <br> | float: ['ap50-95:37.3'] <br>8bit: ['kld-pc', 'ap50:51.8', 'ap50-95:36.3'] <br>16bit: ['kld-pc', 'ap50:52.4', 'ap50-95:36.8'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolov9](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov9) | yolov9t | 1x3x640x640 | 8bit: 8.46ms <br>16bit: 12.337ms <br>mixed: None <br> | float: ['ap50:53.1', 'ap50-95:38.3'] <br>8bit: ['kld-pc', 'ap50:49.8', 'ap50-95:35.2'] <br>16bit: ['kld-pc', 'ap50:52.4', 'ap50-95:37.2'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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| [yolox](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolox) | yolox_s | 1x3x640x640 | 8bit: 7.4136ms <br>16bit: 16.7926ms <br>mixed: None <br> | float: ap50:NA;ap50-95:0.405 <br>parse: ap50:0.596;ap50-95:0.407 <br>8bit: ['kld-pt', 'ap50:0.586; ap50-95:0.385'] <br>16bit: ['kld-pt', 'ap50:0.595; ap50-95:0.402'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
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#### cv-drive_perception
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:----------------------------------------------------------------------------------------------|:-----------------------|:--------------|:----------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------|
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| [HybridNets](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/HybridNets) | HybridNets | 1x3x384x640 | 8bit: 62.1997ms <br>16bit: 112.786ms <br>mixed: None <br> | float: TOD-recall:93.5;TOD-map50:77.2;DAS-mIoU:90.5;LLD-IoU:31.6;LLD-acc:85.4 <br>parse: ['-', 'TOD-recall:93.5;TOD-map50:77.2;DAS-mIoU:90.5;LLD-IoU:31.6;LLD-acc:85.4'] <br>8bit: ['ems-pt', 'TOD-recall:92.6;TOD-map50:74.6;DAS-mIoU:88.7;LLD-IoU:28.5;LLD-acc:80.1'] <br>16bit: ['ems-pt', 'TOD-recall:93.0;TOD-map50:75.4;DAS-mIoU:89.2;LLD-IoU:29.4;LLD-acc:83.1'] <br>mixed: None <br> | [BDD-100k](https://dl.cv.ethz.ch/bdd100k/data/) |
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| [PolyLaneNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/PolyLaneNet) | PolyLaneNet | 1x3x360x640 | 8bit: 5.786ms <br>16bit: 12.705ms <br>mixed: 7.669ms <br> | float: None <br>parse: None <br>int8: [] <br>int16: [] <br>mixed: None <br> | |
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| [UFLD](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/UFLD) | UFLD | 1x3x288x800 | 8bit: 10.619ms <br>16bit: 21.160ms <br>mixed: None <br> | float: None <br>parse: None <br>int8: [] <br>int16: [] <br>mixed: None <br> | |
|
||
| [YOLOP](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/YOLOP) | YOLOP | 1x3x640x640 | 8bit: 24.87ms <br>16bit: 47.302ms <br>mixed: None <br> | float: TOD-recall:89.3;TOD-map50:76.6;DAS-mIoU:89.0;LLD-IoU:24.8;LLD-acc:63.8 <br>parse: ['-', 'TOD-recall:89.3;TOD-map50:76.6;DAS-mIoU:89.0;LLD-IoU:24.8;LLD-acc:63.8'] <br>8bit: ['kld-pc', 'TOD-recall:88.9;TOD-map50:74.9;DAS-mIoU:88.7;LLD-IoU:24.9;LLD-acc:60.5'] <br>16bit: ['kld-pc', 'TOD-recall:89.2;TOD-map50:76.6;DAS-mIoU:89.0;LLD-IoU:24.9;LLD-acc:64.9'] <br>mixed: None <br> | [BDD-100k](https://dl.cv.ethz.ch/bdd100k/data/) |
|
||
|
||
#### cv-ge
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:------------------------------------------------------------------------------------------------|:-----------------------|:--------------|:--------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------|
|
||
| [GazeTR](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/GazeTR) | GazeTR | 1x224x224x3 | 8bit: 3.0822ms <br>16bit: 4.9915ms <br>mixed: None <br> | float: angle_error:2.70 <br>parse: angle_error:2.70 <br>8bit: ['ems_pt', 'angle_error:2.54'] <br>16bit: ['ems_pt', 'angle_error:2.53'] <br>mixed: None <br> | [MPIIFaceGaze](http://datasets.d2.mpi-inf.mpg.de/MPIIGaze/MPIIFaceGaze.zip) |
|
||
| [MPIIFaceGaze](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/MPIIFaceGaze) | MPIIFaceGaze | 1x224x224x3 | 8bit: 1.3355ms <br>16bit: 2.1721ms <br>mixed: None <br> | float: angle_error:2.55 <br>parse: angle_error:2.20 <br>8bit: ['null_pc', 'angle_error:3.22'] <br>16bit: ['null_pc', 'angle_error:3.25'] <br>mixed: None <br> | [MPIIFaceGaze](http://datasets.d2.mpi-inf.mpg.de/MPIIGaze/MPIIFaceGaze_normalized.zip) |
|
||
| [MPIIGaze](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/MPIIGaze) | MPIIGaze | 1x1x36x60 | 8bit: 0.0965ms <br>16bit: 0.1275ms <br>mixed: None <br> | float: angle_error:5.24 <br>8bit: ['null_pt', 'angle_error:4.76'] <br>16bit: ['null_pt', 'angle_error:4.78'] <br>mixed: None <br> | [MPIIGaze](http://datasets.d2.mpi-inf.mpg.de/MPIIGaze/MPIIGaze.tar.gz) |
|
||
|
||
#### cv-img_fusion
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:------------------------------------------------------------------------------------|:-----------------------|:--------------|:-----------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|
|
||
| [TarDAL](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/TarDAL) | TarDAL | 1x1x768x1024 | 8bit: 109.868ms <br>16bit: 225.6657ms <br>mixed: None <br> | float: MI:2.356; EN:6.889; SD:43.323; PSNR:12.270; SSIM:0.752 <br>8bit: ['kld-pc', 'MI:2.349; EN:5.009; SD:43.704; PSNR:12.171; SSIM:0.728'] <br>16bit: ['kld-pc'] <br>mixed: None <br> | [M3FD](https://drive.google.com/drive/folders/1H-oO7bgRuVFYDcMGvxstT1nmy0WF_Y_6) |
|
||
|
||
#### cv-kpt
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:----------------------------------------------------------------------------------------------|:-----------------------|:--------------|:----------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|
|
||
| [HRNet_CALS](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/HRNet_CALS) | HRNet_CALS-kpt | 1x3x640x640 | 8bit: 23.427 ms <br>16bit: 51.365 ms <br>mixed: None <br> | float: ['pixel-error:2.22'] <br>parse: ['pixel-error:2.769'] <br>int8: ['null-pt', 'pixel-error:2.901'] <br>int16: ['null-pt', 'pixel-error:2.804'] <br>mixed: ['null-pt', 'pixel-error:2.814'] <br> | [DCS](https://github.com/DCS-Skunkworks/dcs-bios) |
|
||
| [yolo11_pose](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolo11_pose) | yolo11s-pose | 1x3x640x640 | 8bit: 9.72ms <br>16bit: 18.73 ms <br>mixed: 10.49 ms <br> | float: ['ap50-95:0.589'] <br>parse: ['ap50-95:0.588'] <br>int8: ['ems-channel', 'ap50-95:0.531'] <br>int16: ['ems-channel', 'ap50-95:0.562'] <br>mixed: ['ems-channel', 'ap50-95:0.553'] <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
| [yolov7_pose](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov7_pose) | yolov7-w6-pose | 1x3x640x640 | 8bit: 24.2247ms <br>16bit: 55.399ms <br>mixed: None <br> | float: None <br>8bit: ['kld-pt', 'ap50:0.834; ap50-95:0.491'] <br>16bit: ['kld-pt', 'ap50:0.869; ap50-95:0.651'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
| [yolov8_pose](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov8_pose) | yolov8s-pose | 1x3x640x640 | 8bit: 8.26 ms <br>16bit: 18.73 ms <br>mixed: None <br> | float: ap50:0.862; ap50-95:0.60 <br>8bit: ['kld-pc', 'ap50:0.835; ap50-95:0.549'] <br>16bit: ['kld-pt', 'ap50:0.836; ap50-95:0.565'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
|
||
#### cv-match
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:------------------------------------------------------------------------------------------|:-----------------------|:--------------|:---------------------------------------------------------------------------|:----------------------------------------------------------------|:----------|
|
||
| [superglue](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/superglue) | superglue | 1x1200x1600x1 | 8bit: ['80 ms', '180 ms'] <br>16bit: ['none', 'none'] <br>mixed: None <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
|
||
|
||
#### cv-mot
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:------------------------------------------------------------------------------------------|:-----------------------|:--------------|:----------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------|
|
||
| [bytetrack](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/bytetrack) | bytetrack | 1x3x608x1088 | 8bit: 13.5490ms <br>16bit: 30.3555ms <br>mixed: None <br> | float: MOTA:79.2; IDF1:74.2 <br>parse: MOTA:79.2; IDF1:74.2 <br>int8: ['kld-pt', 'MOTA:78.1; IDF1:70.4'] <br>int16: ['kld-pt', 'MOTA:78.8; IDF1:74.1'] <br>mixed: None <br> | [MOT17](https://motchallenge.net/data/MOT17/) |
|
||
|
||
#### cv-ofe
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:------------------------------------------------------------------------------------|:-----------------------|:--------------|:---------------------------------------------------------|:----------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|
|
||
| [spynet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/spynet) | spynet | 1x3x320x544 | 8bit: 20.1251ms <br>16bit: 40.000ms <br>mixed: None <br> | float: None <br>parse: None <br>int8: [] <br>int16: [] <br>mixed: None <br> | [FlyingChairs](http://lmb.informatik.uni-freiburg.de/data/FlyingChairs/FlyingChairs.zip) |
|
||
|
||
#### cv-seg
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:----------------------------------------------------------------------------------------------------|:-----------------------|:--------------|:-------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------|
|
||
| [DDRNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/DDRNet) | DDRNet | 1x3x1024x2048 | 8bit: 75.0438ms <br>16bit: 161.9397ms <br>mixed: None <br> | float: mIoU:79.51 <br>8bit: ['kld-pc', 'mIoU:79.27'] <br>16bit: ['kld-pc', 'mIoU:79.40'] <br>mixed: None <br> | [cityscapes](https://www.cityscapes-dataset.com/) |
|
||
| [deeplabv3plus](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/deeplabv3plus) | deeplab-resnet | 1x3x513x513 | 8bit: 51.606ms <br>16bit: 209.6435ms <br>mixed: None <br> | float: ['mIoU:0.784'] <br>8bit: ['kld-pc', 'mIoU:0.766'] <br>16bit: ['kld-pt', 'mIoU:0.769'] <br>mixed: None <br> | [voc2012val](http://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar) |
|
||
| [esanet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/esanet) | esanet | 1x3x480x640 | 8bit: 52.796ms <br>16bit: 101.037ms <br>mixed: None <br> | float: miou:0.535 <br>8bit: ['kld-pc', 'miou:0.514'] <br>16bit: ['kld-pc', 'miou:0.538'] <br>mixed: None <br> | [sunrgbd](https://rgbd.cs.princeton.edu/) |
|
||
| [maskformer](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/maskformer) | maskformer_r50 | 1x3x640x640 | 8bit: 248.2826ms <br>16bit: 613.4063ms <br>mixed: None <br> | float: ['mIou:43.5824'] <br>parse: ['mIou:43.5822'] <br>8bit: ['kld-pc', 'mIou:41.4750'] <br>16bit: ['kld-pc', 'mIou:41.8236'] <br>mixed: None <br> | [ADEChallengeData2016](http://data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip) |
|
||
| [maskformer_pan](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/maskformer_pan) | maskformer_pan | 1x3x224x224 | 8bit: 490.7640ms <br>16bit: 1170.6667ms <br>mixed: None <br> | float: ['PQ:44.988'] <br>parse: ['PQ:44.988'] <br>8bit: ['kld-pc', 'PQ:18.217'] <br>16bit: ['kld-pc', 'PQ:None'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
| [MMPSPNet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/MMPSPNet) | mmpspnet | 1x3x1024x2048 | 8bit: 540.605ms <br>16bit: 1401.880ms <br>mixed: None <br> | float: mAcc:84.86; mIoU:77.92; allAcc:95.99 <br>8bit: ['kld-pt', 'mAcc:83.13; mIoU:76.90; allAcc:95.79'] <br>16bit: ['kld-pt', 'mAcc:84.31; mIoU:77.61; allAcc:95.88'] <br>mixed: None <br> | [cityscapes](https://www.cityscapes-dataset.com/) |
|
||
| [PointNet_seg](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/PointNet_seg) | PointNet_seg | 1x3x2500 | 8bit: 7.19ms <br>16bit: 15.1074ms <br>mixed: None <br> | float: mIoU:66.9 <br>parse: mIoU:66.9 <br>8bit: ['kld-pc', 'mIoU:66.5'] <br>16bit: ['kld-pc', 'mIoU:66.9'] <br>mixed: None <br> | [shapenet](https://shapenet.cs.stanford.edu/ericyi/shapenetcore_partanno_segmentation_benchmark_v0.zip) |
|
||
| [yolov5_seg](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov5_seg) | yolov5s_seg | 1x3x640x640 | 8bit: 7.7881ms <br>16bit: 17.677ms <br>mixed: None <br> | float: box:ap50-95:0.376; mask:ap50-95:0.292 <br>parse: ['box:ap50:0.566; ap50-95:0.377; mask:ap50:0.493; ap50-95:0.288'] <br>8bit: ['kld-pc', 'box:ap50:0.550; ap50-95:0.349; mask:ap50:0.479; ap50-95:0.275'] <br>16bit: ['kld-pc', 'box:ap50:0.558; ap50-95:0.367; mask:ap50:0.489; ap50-95:0.282'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
| [yolov8_seg](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov8_seg) | yolov8s-seg | 1x3x640x640 | 8bit: 9.71 ms <br>16bit: 22.297 ms <br>mixed: None <br> | float: box:ap50-95:0.446; mask:ap50-95:0.332 <br>parse: ['box:ap50:0.614; ap50-95:0.446; mask:ap50:0.541; ap50-95:0.331'] <br>8bit: ['kld-pc', 'box:ap50:0.602; ap50-95:0.435; mask:ap50:0.534; ap50-95:0.327'] <br>16bit: ['kld-pc', 'box:ap50:0.608; ap50-95:0.441; mask:ap50:0.538; ap50-95:0.330'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
| [yolov9_pan](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/yolov9_pan) | yolov9_pan | 1x3x640x640 | 8bit: 41.9832ms <br>16bit: 82.9947ms <br>mixed: None <br> | float: PQ:35.3 <br>8bit: ['null-pc', 'PQ:32.5'] <br>16bit: ['null-pc', 'PQ:34.1'] <br>mixed: None <br> | [coco2017val](http://images.cocodataset.org/zips/val2017.zip) |
|
||
|
||
#### cv-sod
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:----------------------------------------------------------------------------------------------------|:-----------------------|:--------------|:------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------|
|
||
| [JL-DCF](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/JL-DCF) | JL-DCF | 1x3x320x320 | 8bit: 128.7367ms <br>16bit: 372.1721ms <br>mixed: None <br> | float: SSIM:0.855; Fβ:0.894; MAE:0.108 <br>8bit: ['kld-pc', 'SSIM:0.857; Fβ:0.892; MAE:0.107'] <br>16bit: ['kld-pc', 'SSIM:0.859; Fβ:0.893; MAE:0.105'] <br>mixed: None <br> | [LFSD](https://drive.google.com/file/d/18ALe_HBuNjVTB_US808d8ZKfpd_mwLy5/view?usp=drive_open) |
|
||
| [U2Net_det](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/U2Net_det) | U2Net_det | 1x3x320x320 | 8bit: 37.7630ms <br>16bit: 72.7427ms <br>mixed: None <br> | float: ['MAE:4.40%; Max-F:87.30%; Weighted-F:80.40%'] <br>8bit: ['kld-pt', 'MAE:4.79%; Max-F:86.70%; Weighted-F:79.04%'] <br>16bit: ['kld-pt', 'MAE:4.76%; Max-F:86.69%; Weighted-F:79.19%'] <br>mixed: None <br> | [DUTS-TE](http://saliencydetection.net/duts/download/DUTS-TE.zip) |
|
||
| [U2Net_portrait](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/U2Net_portrait) | U2Net_portrait | 1x3x512x512 | 8bit: 95.6711ms <br>16bit: 186.7045ms <br>mixed: None <br> | float: None <br>8bit: ['kld-pc'] <br>16bit: ['kld-pc'] <br>mixed: None <br> | []() |
|
||
|
||
#### cv-sot
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:----------------------------------------------------------------------------------------------|:-----------------------|:--------------|:----------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|
|
||
| [AiATrack](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/AiATrack) | AiATrack | 1x320x320x3 | 8bit: 91.605ms <br>16bit: 183.452ms <br>mixed: None <br> | float: AUC:65.74; Precision:71.69;Precision_norm:76.23 <br>8bit: ['null_pc', 'AUC:58.72; Precision:61.62;Precision_norm:69.96'] <br>16bit: ['null_pc', 'AUC:59.08; Precision:63.69;Precision_norm:69.64'] <br>mixed: None <br> | [LaSOT](http://vision.cs.stonybrook.edu/~lasot/download.html) |
|
||
| [ETTrack](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ETTrack) | ETTrack | 1x3x288x288 | 8bit: 16.763ms <br>16bit: 32.918ms <br>mixed: None <br> | float: AUC:59.3; Precision:60.12;Precision_norm:68.01 <br>8bit: ['kld-pc&null_pt', 'AUC:12.54; Precision:4.15;Precision_norm:8.40'] <br>16bit: ['kld-pc&null_pt', 'AUC:54.39; Precision:54.04;Precision_norm:62.10'] <br>mixed: None <br> | [LaSOT](http://vision.cs.stonybrook.edu/~lasot/download.html) |
|
||
| [MixformerV2](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/MixformerV2) | MixformerV2 | 1x112x112x3 | 8bit: 17.7960ms <br>16bit: 30.1226ms <br>mixed: None <br> | float: AUC:58.63; Precision:57.56;Precision_norm:67.28 <br>8bit: ['null_pt', 'AUC:0.24; Precision:0.59;Precision_norm:0.25'] <br>16bit: ['null_pt', 'AUC:58.47; Precision:57.81;Precision_norm:66.18'] <br>mixed: None <br> | [LaSOT](http://vision.cs.stonybrook.edu/~lasot/download.html) |
|
||
| [siamfc++](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/siamfc++) | siamfc++ | 1x3x303x303 | 8bit: 3.672ms <br>16bit: 5.9922ms <br>mixed: None <br> | float: AUC:52.3; Precision:54.07;Precision_norm:61.06 <br>8bit: ['kld-pc', 'AUC:51.36; Precision:52.45;Precision_norm:60.40'] <br>16bit: ['kld-pc', 'AUC:51.24; Precision:52.09;Precision_norm:60.36'] <br>mixed: None <br> | [LaSOT](http://vision.cs.stonybrook.edu/~lasot/download.html) |
|
||
| [siamrpn++](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/siamrpn++) | siamrpn++ | 1x3x255x255 | 8bit: 5.391ms <br>16bit: 12.008ms <br>mixed: None <br> | float: AUC:45.30; Precision:45.62;Precision_norm:53.62 <br>8bit: ['kld-pt', 'AUC:44.12; Precision:43.94;Precision_norm:52.87'] <br>16bit: ['kld-pt', 'AUC:45.23; Precision:45.11;Precision_norm:53.64'] <br>mixed: None <br> | [LaSOT](http://vision.cs.stonybrook.edu/~lasot/download.html) |
|
||
|
||
#### cv-sr
|
||
|
||
|
||
| model | Representative model | input shape | hardtime | metrics | dataset |
|
||
|:----------------------------------------------------------------------------------------------|:-----------------------|:--------------|:--------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------|
|
||
| [edsr](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/edsr) | edsr | 1x3x160x240 | 8bit: ['edsr 15.432ms; edsr_big 15.433ms'] <br>16bit: ['edsr 30.344ms; edsr_big 30.343ms'] <br>mixed: None <br> | float: ['edsr psnr 31.863; edsr_big psnr 31.937'] <br>8bit: ['null-pt', 'edsr psnr 30.746; edsr_big psnr 29.418'] <br>16bit: ['null-pt', 'edsr psnr 31.862; edsr_big psnr 29.477'] <br>mixed: ['null-pt', 'edsr psnr 30.791; edsr_big psnr 29.432'] <br> | [B100](https://paperswithcode.com/dataset/bsd100) |
|
||
| [mimo-unet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/mimo-unet) | mimo-unet | 1x3x720x1280 | 8bit: ['759ms'] <br>16bit: ['1459ms'] <br>mixed: None <br> | float: psnr:31.891 <br>8bit: ['kld-pc', 'none'] <br>16bit: ['kld-pc', 'none'] <br>mixed: ['none'] <br> | [GoPro](https://seungjunnah.github.io/Datasets/gopro) |
|
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| [nafnet_lite](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/nafnet_lite) | nafnet_lite | 1x3x736x1280 | 8bit: self_A_attn:47.660ms; self_A:38.339ms; self_A_b18:60.553ms <br>16bit: self_A_attn:96.4ms <br>mixed: None <br> | float: self_A_attn PSNR 28.1753; self_A_b18 PSNR 28.6021; self_A PSNR 27.9081 <br>int8: self_A_attn PSNR 27.3964; self_A_b18 PSNR 27.1031; self_A PSNR 27.1225 <br>int16: self_A_attn PSNR 28.0775; self_A_b18 PSNR 28.5055; self_A PSNR 27.7936 <br>mixed: self_A_attn PSNR 27.4334; self_A_b18 PSNR 27.1467; self_A PSNR 27.1466 <br> | [GoPro](https://seungjunnah.github.io/Datasets/gopro) |
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| [PASSRnet](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/PASSRnet) | PASSRnet | 1x125x178x3 | 8bit: 61.0188ms <br>16bit: 164.7030ms <br>mixed: None <br> | float: None <br>8bit: None <br>16bit: None <br>mixed: None <br> | [KITTI2012Stereo](https://www.cvlibs.net/datasets/kitti/eval_stereo_flow.php?benchmark=stereo) |
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| [rdn](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/rdn) | rdn | 1x3x256x256 | 8bit: 928.4067ms <br>16bit: 1904.2732ms <br>mixed: None <br> | float: ['PSNR:44.668'] <br>parse: ['PSNR:44.668'] <br>8bit: ['kld-pc', 'PSNR:42.656'] <br>16bit: ['kld-pc', 'PSNR:43.172'] <br>mixed: None <br> | [Set5eval](https://www.dropbox.com/s/b7v5vis8duh9vwd/Set5_x2.h5?dl=0) |
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| [rfdn](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/rfdn) | rfdn | 1x3x160x240 | 8bit: ['12.42ms'] <br>16bit: ['23.63ms'] <br>mixed: ['16.54ms'] <br> | float: psnr:31.891 <br>8bit: ['null-pt', 'psnr:30.839'] <br>16bit: ['null-pt psnr:31.889'] <br>mixed: ['null-pt', 'psnr:30.876'] <br> | [B100](https://paperswithcode.com/dataset/bsd100) |
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#### drl
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:--------------------------------------------------------------------------------------------|:-----------------------|:--------------|:-----------------------------------------------------------------|:----------------------------------------------------------------|:-----------------|
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| [donkey_car](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/donkey_car) | donkey-car | 1x2x64x64 | 8bit: None <br>16bit: 6ms <br>mixed: None <br>cpu: 0.55ms <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
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| [dqn](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/dqn) | dqn | 1x4 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 0.125ms <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
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| [drl4vrp](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/drl4vrp) | drl4vrp | 1x2x20 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 26ms <br> | float: None <br>8bit: None <br>16bit: None <br>mixed: None <br> | |
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| [ppo](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ppo) | ppo | 1x2x64x64 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 2.8ms <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
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| [ppo_lstm](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/ppo_lstm) | ppo_lstm | 1x2x64x64 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 3.0ms <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
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| [sac](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/sac) | sac | 1x2x64x64 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 2.5ms <br> | float: None <br>int8: None <br>int16: None <br>mixed: None <br> | |
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#### nlp
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:----------------------------------------------------------------------------------------------|:-----------------------|:--------------|:------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------|:----------|
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| [bert](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/bert) | bert | 1x128x768 | 8bit: 17.9858 ms <br>16bit: 39.2729 ms <br>mixed: None <br> | float: None <br>int8: ['null-pt'] <br>int16: ['null-pt'] <br>mixed: None <br> | |
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| [bert_cls](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/bert_cls) | bert_cls | 1x32x768 | 8bit: 10.1458 ms <br>16bit: 23.5171 ms <br>mixed: None <br> | float: ACC：94.76% <br>int8: ['null-pt', 'ACC：41.16%'] <br>int16: ['null-pt', 'ACC：94.57%'] <br>mixed: None <br> | |
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| [TextCNN](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/TextCNN) | TextCNN | 1x32x300 | 8bit: 9.4472 ms <br>16bit: 10.9260 ms <br>mixed: None <br> | float: ACC： 90.97% <br>int8: ['null-pt', 'ACC：90.89%'] <br>int16: ['null-pt', 'ACC：90.92%'] <br>mixed: None <br> | |
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| [Transformer](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/Transformer) | Transformer | 1x32x300 | 8bit: 0.9705 ms <br>16bit: 1.1952 ms <br>mixed: None <br> | float: ACC： 90.51% <br>int8: ['null-pt', 'ACC：89.24%'] <br>int16: ['null-pt', 'ACC：87.40%'] <br>mixed: None <br> | |
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#### ts-tsf
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| model | Representative model | input shape | hardtime | metrics | dataset |
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|:------------------------------------------------------------------------------------------|:-----------------------|:--------------|:----------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|
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| [dlinear](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/dlinear) | dlinear | 1x96x7 | 8bit: None <br>16bit: None <br>mixed: None <br>cpu: 0.58ms <br> | float: ltf:mae:0.411573; mse:0.396674; cls:acc:0.756097; f1:0.390243 <br>cpu: ltf:mae:0.411573; mse:0.396674; cls:acc:0.756097; f1:0.390243 <br>8bit: None <br>16bit: None <br>mixed: None <br> | [times_series](https://pan.baidu.com/share/init?surl=r3KhGd0Q9PJIUZdfEYoymg&pwd=i9iy) |
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| [moderntcn](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/moderntcn) | moderntcn | 1x336x7 | 8bit: 0.72ms <br>16bit: 1.23ms <br>mixed: None <br> | float: ltf:mae:0.394449; mse:0.368657; cls:acc:0.765853; f1:0.441860 <br>8bit: ['ltf:kld-pt', 'mae:0.395039; mse:0.366876; cls:kld-pt', 'acc:0.735294; f1:0.341463'] <br>16bit: ['ltf:kld-pt', 'mae:0.385568; mse:0.355908'] <br>mixed: None <br> | [times_series](https://pan.baidu.com/share/init?surl=r3KhGd0Q9PJIUZdfEYoymg&pwd=i9iy) |
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| [segrnn](https://gitee.com/mxh-spiger/modelzoo/tree/modelzoo_v3.7.1/pytorch/segrnn) | segrnn | 1x96x7 | 8bit: 0.89ms <br>16bit: 2.05ms <br>mixed: None <br> | float: ltf:mae:0.393878; mse:0.367910; cls:acc:0.756097; f1:0.375000 <br>8bit: ['ltf:kld-pt', 'mae:0.386951; mse:0.359742; cls:null-pt', 'acc:0.754902; f1:0.358974'] <br>16bit: ['ltf:kld-pt', 'mae:0.386655; mse:0.359414; cls:null-pt', 'acc:0.754902; f1:0.375000'] <br>mixed: None <br> | [times_series](https://pan.baidu.com/share/init?surl=r3KhGd0Q9PJIUZdfEYoymg&pwd=i9iy) | |