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Animal Pose Estimation On Trimouse 161
Metrics
mAP
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| BUCTD-CoAM-W48 (DLCRNet) | 99.1 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | |
| SuperAnimal HRNetw32 | 98.547 | SuperAnimal pretrained pose estimation models for behavioral analysis | |
| DLCRNet | 95.8 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | |
| ResNet50_s4graph11 | 93 | Multi-animal pose estimation, identification and tracking with DeepLabCut | - |
| DLCRNet_ms4graph11 | 92 | Multi-animal pose estimation, identification and tracking with DeepLabCut | - |
| CID-W32 | 86.8 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | |
| zero-shot SuperAnimal HRNetw32 | 76.139 | SuperAnimal pretrained pose estimation models for behavioral analysis |
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