| 2d-pose-estimation-on-irodent | fine-tuned HRNetw32 pretrained on SuperAnimal (1 fac of data) | #1 | Average mAP: 72.971 |
| 2d-pose-estimation-on-irodent | fine-tuned HRNetw32 pretrained on AP-10K (1 fac of data) | #2 | Average mAP: 61.635 |
| 2d-pose-estimation-on-irodent | fine-tuned HRNetw32 pretrained on SuperAnimal (0.01 fac of data) | #3 | Average mAP: 60.853 |
| 2d-pose-estimation-on-irodent | fine-tuned HRNetw32 pretrained on ImageNet | #4 | Average mAP: 58.857 |
| 2d-pose-estimation-on-irodent | zero-shot HRNet-w32 pretrained on SuperAnimal-Quadruped | #5 | Average mAP: 58.557 |
| 2d-pose-estimation-on-irodent | zero-shot AnimalTokenPose pretrained on AP-10K | #6 | Average mAP: 55.415 |
| 2d-pose-estimation-on-irodent | fine-tuned HRNetw32 pretrained on AP-10K (0.01 fac of data) | #7 | Average mAP: 43.144 |
| 2d-pose-estimation-on-irodent | zero-shot HRNet-w32 pretrained on AP-10K | #8 | Average mAP: 40.389 |
| animal-pose-estimation-on-trimouse-161 | SuperAnimal HRNetw32 | #2 | mAP: 98.547 |
| animal-pose-estimation-on-trimouse-161 | zero-shot SuperAnimal HRNetw32 | #7 | mAP: 76.139 |
| animal-pose-estimation-on-ap-10k | SuperAnimal-HRNetw32 | #3 | AP: 80.113 |
| animal-pose-estimation-on-ap-10k | zero-shot SuperAnimal-HRNetw32 | #10 | AP: 68.038 |
| animal-pose-estimation-on-horse-10 | SuperAnimal-Quadruped HRNet-w32 | #7 | Normalized Error (OOD): 0.1091 |
| animal-pose-estimation-on-horse-10 | mmpose HRNet-w32 (w/ImageNet pretrained weights) | #8 | Normalized Error (OOD): 0.179 |