Animal Pose Estimation on SchoolingFish (test)
89.1APHRNet-W48
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HRNet-W48Method Category=Top-down, Detector=Faster R-CNN, Backbone=W482023.06 | 89.1 | 82.8 | 92.6 | 86.1 | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Empirical, Backbone=W482023.06 | 88.7 | 85.8 | 90.5 | 88.9 | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=CID-W32, Sampling=Empirical, Backbone=W482023.06 | 88 | 79.3 | 90.4 | 90.5 | |
| HRNet-W48Method Category=Top-down, Detector=YOLOv3, Backbone=W482023.06 | 82.9 | 80.6 | 85.2 | 79.2 | |
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Generative (sigma), Backbone=W482023.06 | 81.9 | 71 | 81 | 78.3 | |
| CID-W32Method Category=Bottom-up, Backbone=W322023.06 | 81 | 72.7 | 84 | 79.9 | |
| PETRMethod Category=Bottom-up2023.06 | 79.3 | 72.3 | 71.8 | 80.8 | |
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=PETR, Sampling=Empirical, Backbone=W482023.06 | 78.8 | 73.8 | 71.9 | 81 | |
| DEKRMethod Category=Bottom-up2023.06 | 77.6 | 82.3 | 80.3 | 72.1 | |
| DLCRNetMethod Category=Bottom-up2023.06 | 74.1 | 68.7 | 77.6 | 72.8 | |
| HRNet-AEMethod Category=Bottom-up, Backbone=HRNet2023.06 | 45.7 | — | — | — | |
| ResNet-AEMethod Category=Bottom-up, Backbone=ResNet2023.06 | 40 | — | — | — |