Animal Pose Estimation On Trimouse 161
評価指標
mAP
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | mAP | Paper Title | Repository |
|---|---|---|---|
| SuperAnimal HRNetw32 | 98.547 | SuperAnimal pretrained pose estimation models for behavioral analysis | |
| ResNet50_s4graph11 | 93 | Multi-animal pose estimation, identification and tracking with DeepLabCut | |
| DLCRNet_ms4graph11 | 92 | Multi-animal pose estimation, identification and tracking with DeepLabCut | |
| BUCTD-CoAM-W48 (DLCRNet) | 99.1 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | |
| DLCRNet | 95.8 | 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 | |
| CID-W32 | 86.8 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity |
0 of 7 row(s) selected.