Animal Pose Estimation On Ap 10K
Métriques
AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AP | Paper Title | Repository |
|---|---|---|---|
| HRNet-w48 | 73.1 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| UniPose | 79.2 | X-Pose: Detecting Any Keypoints | - |
| ViTPose+-S ViT-S | 71.4 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| ViTPose+-B | 74.5 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| ViTPose+-L | 80.4 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| zero-shot SuperAnimal-HRNetw32 | 68.038 | SuperAnimal pretrained pose estimation models for behavioral analysis | - |
| ViTPose+-H | 82.4 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| SuperAnimal-HRNetw32 | 80.113 | SuperAnimal pretrained pose estimation models for behavioral analysis | - |
| HRNet-w32 | 72.2 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
| SimpleBaseline-ResNet50 | 68.1 | ViTPose++: Vision Transformer for Generic Body Pose Estimation | - |
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