Animal Pose Estimation On Trimouse 161
평가 지표
mAP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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.