| video-object-segmentation-on-davis-2017-test-dev | AOT | #1 | Jaccard: 75.9F-measure: 83.3Mean Jaccard & F-Measure: 79.6 |
| semi-supervised-video-object-segmentation-on-davis-no-youtube-vos-training | AOT-S | #3 | D17 val (G): 79.2D17 val (J): 76.4D17 val (F): 82.0FPS: 40.0 |
| video-object-segmentation-on-youtube-vos-2019 | AOT | #3 | Mean Jaccard & F-Measure: 84.1Jaccard (Seen): 83.5… |
| visual-object-tracking-on-vot2022 | MS_AOT | #3 | EAO: 0.673 |
| semi-supervised-video-object-segmentation-on-vot2020 | SwinB-AOT-L | #9 | EAO: 0.586EAO (real-time): 0.523 |
| semi-supervised-video-object-segmentation-on-vot2020 | AOT-L | #11 | EAO: 0.574EAO (real-time): 0.560 |
| semi-supervised-video-object-segmentation-on-vot2020 | R50-AOT-L | #13 | EAO: 0.569EAO (real-time): 0.540 |
| semi-supervised-video-object-segmentation-on-vot2020 | AOT-B | #15 | EAO: 0.541EAO (real-time): 0.533 |
| semi-supervised-video-object-segmentation-on-vot2020 | AOT-S | #16 | EAO: 0.512EAO (real-time): 0.499 |
| semi-supervised-video-object-segmentation-on-vot2020 | AOT-T | #19 | EAO: 0.435EAO (real-time): 0.433 |
| video-object-segmentation-on-youtube-vos | R50-AOT-L (all frames) | #10 | Overall: 85.5Jaccard (Seen): 84.5Jaccard (Unseen): 79.6… |
| video-object-segmentation-on-youtube-vos | SwinB-AOT-L (all frames) | #12 | Overall: 85.1Jaccard (Seen): 85.1Jaccard (Unseen): 78.4… |
| video-object-segmentation-on-youtube-vos | SwinB-AOT-L | #16 | Overall: 84.5Jaccard (Seen): 84.3Jaccard (Unseen): 77.9… |
| video-object-segmentation-on-youtube-vos | AOT-L (all frames) | #17 | Overall: 84.5Jaccard (Seen): 83.7Jaccard (Unseen): 78.4… |
| video-object-segmentation-on-youtube-vos | R50-AOT-L | #21 | Overall: 84.1Jaccard (Seen): 83.7Jaccard (Unseen): 78.1… |
| video-object-segmentation-on-youtube-vos | AOT-B (all frames) | #22 | Overall: 84.1Jaccard (Seen): 83.6Jaccard (Unseen): 78.0… |
| video-object-segmentation-on-youtube-vos | AOT-L | #25 | Overall: 83.8Jaccard (Seen): 82.9Jaccard (Unseen): 77.7… |
| video-object-segmentation-on-youtube-vos | AOT-B | #27 | Overall: 83.5Jaccard (Seen): 82.6Jaccard (Unseen): 77.7… |
| video-object-segmentation-on-youtube-vos | AOT-S (all frames) | #28 | Overall: 83.0Jaccard (Seen): 82.2Jaccard (Unseen): 77.3… |
| video-object-segmentation-on-youtube-vos | AOT-S | #30 | Overall: 82.6Jaccard (Seen): 82.0Jaccard (Unseen): 76.6… |
| video-object-segmentation-on-youtube-vos | AOT-T (all frames) | #38 | Overall: 80.9Jaccard (Seen): 80.0Jaccard (Unseen): 75.2… |
| video-object-segmentation-on-youtube-vos | AOT-T | #39 | Overall: 80.2Jaccard (Seen): 80.1Jaccard (Unseen): 74.0… |
| visual-object-tracking-on-davis-2016 | SwinB-AOT-L | #10 | J&F: 92.0Jaccard (Mean): 90.7F-measure (Mean): 93.3… |
| visual-object-tracking-on-davis-2016 | R50-AOT-L | #17 | J&F: 91.1Jaccard (Mean): 90.1F-measure (Mean): 92.1… |
| visual-object-tracking-on-davis-2016 | AOT-L | #24 | J&F: 90.4Jaccard (Mean): 89.6F-measure (Mean): 91.1… |
| visual-object-tracking-on-davis-2016 | AOT-L | #27 | J&F: 89.9Jaccard (Mean): 88.7F-measure (Mean): 91.1… |
| visual-object-tracking-on-davis-2016 | AOT-S | #30 | J&F: 89.4Jaccard (Mean): 88.6F-measure (Mean): 90.2… |
| visual-object-tracking-on-davis-2016 | AOT-T | #39 | J&F: 86.8Jaccard (Mean): 86.1F-measure (Mean): 87.4… |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | SwinB-AOT-L | #13 | J&F: 81.2Jaccard (Mean): 77.3F-measure (Mean): 85.1FPS: 12.1 |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | R50-AOT-L | #21 | J&F: 79.6Jaccard (Mean): 75.9F-measure (Mean): 83.3FPS: 18.0 |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | AOT-L | #24 | J&F: 78.3Jaccard (Mean): 74.3F-measure (Mean): 82.3FPS: 18.7 |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | AOT-B | #31 | J&F: 75.5Jaccard (Mean): 71.6F-measure (Mean): 79.3FPS: 29.6 |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | AOT-S | #35 | J&F: 73.9Jaccard (Mean): 70.3F-measure (Mean): 77.5FPS: 40.0 |
| semi-supervised-video-object-segmentation-on-davis-2017-test-dev | AOT-T | #38 | J&F: 72.0Jaccard (Mean): 68.3F-measure (Mean): 75.7FPS: 51.4 |
| semi-supervised-video-object-segmentation-on-mose | AOT | #19 | J&F: 57.2J: 53.1F: 61.3 |
| visual-object-tracking-on-davis-2017 | SwinB-AOT-L | #21 | J&F: 85.4Jaccard (Mean): 82.4F-measure (Mean): 88.4… |
| visual-object-tracking-on-davis-2017 | R50-AOT-L | #26 | J&F: 84.9Jaccard (Mean): 82.3F-measure (Mean): 87.5… |
| visual-object-tracking-on-davis-2017 | AOT-L | #32 | J&F: 83.8Jaccard (Mean): 81.1F-measure (Mean): 86.4… |
| visual-object-tracking-on-davis-2017 | AOT-B | #38 | J&F: 82.5Jaccard (Mean): 79.7F-measure (Mean): 85.2… |
| visual-object-tracking-on-davis-2017 | AOT-S | #42 | J&F: 81.3Jaccard (Mean): 78.7F-measure (Mean): 83.9… |
| visual-object-tracking-on-davis-2017 | AOT-T | #45 | J&F: 79.9Jaccard (Mean): 77.4F-measure (Mean): 82.3… |