Animal Pose Estimation on Tri-Mouse (test)
99.1APBUCTD-CoAM-W48
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Generative (sigma), Backbone=W482023.06 | 99.1 | 99.1 | 99.2 | — | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Empirical, Backbone=W482023.06 | 98.5 | 97.9 | 98.3 | — | |
| DEKRMethod Category=Bottom-up2023.06 | 97.2 | 97.2 | 97.9 | — | |
| HRNet-W48Method Category=Top-down, Detector=Faster R-CNN, Backbone=W482023.06 | 96 | 97 | 90.3 | — | |
| DLCRNetMethod Category=Bottom-up2023.06 | 95.8 | 94.9 | 94.7 | — | |
| HRNet-W48Method Category=Top-down, Detector=YOLOv3, Backbone=W482023.06 | 91.7 | 91.2 | 89.5 | — | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=CID-W32, Sampling=Empirical, Backbone=W482023.06 | 87.7 | 85.6 | 87.3 | — | |
| CID-W32Method Category=Bottom-up, Backbone=W322023.06 | 86.8 | 84.1 | 85.6 | — | |
| HRNet-AEMethod Category=Bottom-up, Backbone=HRNet2023.06 | 83.9 | — | — | — | |
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=PETR, Sampling=Empirical, Backbone=W482023.06 | 82.7 | 84.1 | 79.5 | — | |
| PETRMethod Category=Bottom-up2023.06 | 82.3 | 84.1 | 78.7 | — | |
| ResNet-AEMethod Category=Bottom-up, Backbone=ResNet2023.06 | 70.3 | — | — | — |