Animal Pose Estimation On Fish 100
Métriques
mAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mAP | Paper Title | Repository |
|---|---|---|---|
| HRNet-W48 + Faster R-CNN | 89.1 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | - |
| DLCRNet_ms4graph9 | 71.6 | Multi-animal pose estimation, identification and tracking with DeepLabCut | |
| BUCTD-preNet-W48 (DLCRNet) | 88.7 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | - |
| BUCTD-preNet-W48 (CID-W32) | 88.0 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | - |
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