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Models/Dite-HRNet-30

Dite-HRNet-30

Reported on 21 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision7 results

Pose EstimationonCOCO test-dev
AP· 2022-04-22
70.6
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonCOCO test-dev
AP50· 2022-04-22
90.8
best: 95 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonCOCO test-dev
AP75· 2022-04-22
78.2
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonCOCO test-dev
APL· 2022-04-22
76.1
best: 86.5 (PoseBH-H)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonCOCO test-dev
APM· 2022-04-22
67.4
best: 83.8 (4xRSN-50 (ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonCOCO test-dev
AR· 2022-04-22
76.4
best: 88.2 (Simple Pose)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
Pose EstimationonMPII Human Pose
PCKh-0.5· 2022-04-22
87.6
best: 94.3 (PCT (swin-l, test set))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762

Methodology7 results

3DonCOCO test-dev
AP· 2022-04-22
70.6
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonCOCO test-dev
AP50· 2022-04-22
90.8
best: 95 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonCOCO test-dev
AP75· 2022-04-22
78.2
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonCOCO test-dev
APL· 2022-04-22
76.1
best: 86.5 (PoseBH-H)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonCOCO test-dev
APM· 2022-04-22
67.4
best: 83.8 (4xRSN-50 (ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonCOCO test-dev
AR· 2022-04-22
76.4
best: 88.2 (Simple Pose)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
3DonMPII Human Pose
PCKh-0.5· 2022-04-22
87.6
best: 94.3 (PCT (swin-l, test set))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762

Audio7 results

1 Image, 2*2 StitchionCOCO test-dev
AP· 2022-04-22
70.6
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2022-04-22
90.8
best: 95 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2022-04-22
78.2
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionCOCO test-dev
APL· 2022-04-22
76.1
best: 86.5 (PoseBH-H)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionCOCO test-dev
APM· 2022-04-22
67.4
best: 83.8 (4xRSN-50 (ensemble))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionCOCO test-dev
AR· 2022-04-22
76.4
best: 88.2 (Simple Pose)
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762
1 Image, 2*2 StitchionMPII Human Pose
PCKh-0.5· 2022-04-22
87.6
best: 94.3 (PCT (swin-l, test set))
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation arXiv:2204.10762