Animal Pose Estimation On Fish 100
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 |
|---|---|---|---|
| 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 |
0 of 4 row(s) selected.