paper-with-me

Point Tracking 벤치마크

Point Tracking on TAP-Vid-DAVIS

7개 결과 · ⬇ CSV · JSON

Average Jaccard

65.9 66.78 67.65 68.53 69.4 2023-07 2026-09 CoTracker — 65.9 (2023-07-14) CoTracker — 65.9 (2023-07-14) BootsTAPIR — 66.2 (2024-02-01) BootsTAPIR — 66.2 (2024-02-01) LocoTrack-B — 69.4 (2024-07-22) LocoTrack-B — 69.4 (2024-07-22) CoTracker — 65.9 (2023-07-14) BootsTAPIR — 66.2 (2024-02-01) LocoTrack-B — 69.4 (2024-07-22)
RankModel Average JaccardAverage PCKOcclusion Accuracy PaperCodeYear
1 LocoTrack-B 69.481.388.6 Local All-Pair Correspondence for Point Tracking cvlab-kaist/locotrack · ku-cvlab/locotrack 2024
2 BootsTAPIR 66.278.191 BootsTAP: Bootstrapped Training for Tracking-Any-Point google-deepmind/tapnet · deepmind/tapnet 2024
3 CoTracker 65.979.489.9 CoTracker: It is Better to Track Together facebookresearch/co-tracker · large-trajectory-model/atm 2023
4 LocoTrack-B 69.481.388.6 Local All-Pair Correspondence for Point Tracking cvlab-kaist/locotrack · ku-cvlab/locotrack 2024
5 BootsTAPIR 66.278.191 BootsTAP: Bootstrapped Training for Tracking-Any-Point google-deepmind/tapnet · deepmind/tapnet 2024
6 CoTracker 65.979.489.9 CoTracker: It is Better to Track Together facebookresearch/co-tracker · large-trajectory-model/atm 2023
7 PointSt3R 자동 추출 ––88.3 PointSt3R: Point Tracking through 3D Grounded Correspondence 2025
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