| depth-estimation-on-nyu-depth-v2 | SwinV2-L 1K-MIM | #3 | RMS: 0.287 |
| depth-estimation-on-nyu-depth-v2 | SwinV2-B 1K-MIM | #5 | RMS: 0.304 |
| monocular-depth-estimation-on-kitti-eigen | SwinV2-L 1K-MIM | #15 | absolute relative error: 0.050RMSE: 1.966Sq Rel: 0.139… |
| monocular-depth-estimation-on-kitti-eigen | SwinV2-B 1K-MIM | #25 | absolute relative error: 0.052RMSE: 2.050Sq Rel: 0.148… |
| monocular-depth-estimation-on-nyu-depth-v2 | SwinV2-L 1K-MIM | #23 | absolute relative error: 0.083RMSE: 0.287log 10: 0.035… |
| pose-estimation-on-coco-test-dev | SwinV2-L 1K-MIM | #11 | AP: 77.2 |
| pose-estimation-on-coco-test-dev | SwinV2-B 1K-MIM | #14 | AP: 76.7 |
| pose-estimation-on-crowdpose | SwinV2-L 1K-MIM | #4 | AP: 75.5 |
| pose-estimation-on-crowdpose | SwinV2-B 1K-MIM | #5 | AP: 74.9 |
| visual-object-tracking-on-got-10k | SwinV2-L 1K-MIM | #24 | Average Overlap: 72.9 |
| visual-object-tracking-on-got-10k | SwinV2-B 1K-MIM | #26 | Average Overlap: 70.8 |
| visual-object-tracking-on-lasot | SwinV2-L 1K-MIM | #26 | AUC: 70.7 |
| visual-object-tracking-on-lasot | SwinV2-B 1K-MIM | #30 | AUC: 70 |