Animal Pose Estimation on Marmosets (test)
93.7APBUCTD-CoAM-W48
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=PETR, Sampling=Empirical, Backbone=W482023.06 | 93.7 | 91.3 | 90.6 | 73.8 | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=CID-W32, Sampling=Empirical, Backbone=W482023.06 | 93.3 | 91.9 | 93.4 | 89.9 | |
| PETRMethod Category=Bottom-up2023.06 | 93.2 | 89.7 | 89.6 | 70.4 | |
| CID-W32Method Category=Bottom-up, Backbone=W322023.06 | 92.5 | 90.5 | 91.8 | 82.9 | |
| HRNet-W48Method Category=Top-down, Detector=Faster R-CNN, Backbone=W482023.06 | 91.6 | 90.2 | 85 | 42.2 | |
| BUCTD-CoAM-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Generative (sigma), Backbone=W482023.06 | 91.6 | 86.3 | 88.9 | 89.4 | |
| HRNet-W48Method Category=Top-down, Detector=YOLOv3, Backbone=W482023.06 | 91 | 90.1 | 87.7 | 44.1 | |
| BUCTD-preNet-W48Method Category=Hybrid, Condition Source=DLCRNet, Sampling=Empirical, Backbone=W482023.06 | 90.4 | 87 | 86.1 | 85.7 | |
| DLCRNetMethod Category=Bottom-up2023.06 | 80.1 | 75.3 | 71.9 | 67.5 | |
| HRNet-AEMethod Category=Bottom-up, Backbone=HRNet2023.06 | 65.1 | — | — | — | |
| DEKRMethod Category=Bottom-up2023.06 | 61.4 | 64.8 | 64.8 | 57.7 | |
| ResNet-AEMethod Category=Bottom-up, Backbone=ResNet2023.06 | 45 | — | — | — |