Pose Estimation On Aic
Metrics
AP
Results
Performance results of various models on this benchmark
Model Name | AP | Paper Title | Repository |
|---|---|---|---|
| Hulk(Finetune, ViT-L) | 37.1 | Hulk: A Universal Knowledge Translator for Human-Centric Tasks | - |
| HRFormer (HRFomer-S) | 31.6 | HRFormer: High-Resolution Transformer for Dense Prediction | - |
| HRNet (HRNet-w32) | 32.3 | Deep High-Resolution Representation Learning for Human Pose Estimation | - |
| SimpleBaseline (ResNet-152) | 29.9 | Simple Baselines for Human Pose Estimation and Tracking | - |
| SimpleBaseline (ResNet-101) | 29.4 | Simple Baselines for Human Pose Estimation and Tracking | - |
| HRNet (HRNet-w48 ) | 33.5 | Deep High-Resolution Representation Learning for Human Pose Estimation | - |
| SimpleBaseline (ResNet-50) | 28.0 | Simple Baselines for Human Pose Estimation and Tracking | - |
| Hulk(Finetune, ViT-B) | 35.6 | Hulk: A Universal Knowledge Translator for Human-Centric Tasks | - |
| UniHCP (finetune) | 33.6 | UniHCP: A Unified Model for Human-Centric Perceptions | - |
| HRFormer (HRFomer-B) | 34.4 | HRFormer: High-Resolution Transformer for Dense Prediction | - |
0 of 10 row(s) selected.