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Point Tracking on TAP-Vid Kinetics (First)

22.4Avg Displacement Error (delta_avg)DeiT
20.55233.02645.557.974Jul 14, 2023Dec 24, 2023Jun 4, 2024Nov 14, 2024Apr 26, 2025Oct 6, 2025Mar 18, 2026

Evaluation results

MethodLinks
DeiTSetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0322.4——
DINOv2+NNSupervision=Zero-Shot2025.1024.2212.6962.45
CLIPSetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0325——
DIFTSupervision=Zero-Shot2025.1025.5615.163.17
MAESetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0327.6——
SD-DINOSupervision=Zero-Shot2025.1028.3716.4762.79
SAMSetup=WS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0331.4——
SimVOS-B/16Setup=WS, Size=32×32, #L.P.=-, Data=D + Y (3.4k), Evaluation Mode=queried-first mode2026.0332——
DINOv2-S/14Setup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0333.4——
DINOv2-B/14-RegSetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0333.6——
DINOSetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0334.4——
DINOv2-B/14Setup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0334.5——
SMTCSetup=ZS, Size=30×45, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0336.1——
DINOv3-S/16Setup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0336.7——
SDSetup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0337.2——
DINOv3-B/16Setup=ZS, Size=32×32, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0337.4——
CRW (ResNet-18)Setup=ZS, Size=30×45, #L.P.=-, Data=V, Evaluation Mode=queried-first mode2026.0340.9——
Point PromptingSupervision=Zero-Shot2025.1041.5127.3671.39
GMRWSupervision=Self-Sup.2025.1041.6325.771.33
DIFT (SD1.5)Setup=ZS, Size=30×45, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0341.9——
VFS (ResNet-50)Setup=ZS, Size=30×45, #L.P.=-, Data=V, Evaluation Mode=queried-first mode2026.0342.4——
DIFT (SD2.1)Setup=ZS, Size=30×45, #L.P.=-, Data=S, Evaluation Mode=queried-first mode2026.0342.9——
DiffTrack (HunyuanVideo)Setup=ZS, Size=30×45, #L.P.=-, Data=V, Evaluation Mode=queried-first mode2026.0345.5——
M2Pv2-S/14-R@64Setup=WS, Size=32×32, #L.P.=4.7M, Data=D + Y (3.4k), Evaluation Mode=queried-first mode2026.0345.5——
DiffTrack (CogVideoX-2B)Setup=ZS, Size=30×45, #L.P.=-, Data=V, Evaluation Mode=queried-first mode2026.0346.3——
M2Pv2-B/14-R@64Setup=WS, Size=32×32, #L.P.=9.5M, Data=D + Y (3.4k), Evaluation Mode=queried-first mode2026.0346.4——
RAFTSupervision=Supervised2025.1046.4430.1575.44
M2Pv3-S/16-R@64Setup=WS, Size=32×32, #L.P.=4.7M, Data=D + Y (3.4k), Evaluation Mode=queried-first mode2026.0348.4——
TAP-NetSupervision=Supervised2025.1048.4234.5980.88
DiffTrack (CogVideoX-5B)Setup=ZS, Size=30×45, #L.P.=-, Data=V, Evaluation Mode=queried-first mode2026.0349.2——
Chrono-S/16Setup=FS, Size=32×32, #L.P.=16.2M, Data=Kubric (11k), Evaluation Mode=queried-first mode2026.0349.3——
M2Pv3-B/16-R@64Setup=WS, Size=32×32, #L.P.=9.5M, Data=D + Y (3.4k), Evaluation Mode=queried-first mode2026.0349.4——
TAPNetTraining Dataset=Kub, Evaluation Resolution=256 × 2562025.0754.438.580.6
Opt-CWMSupervision=Self-Sup.2025.1057.7444.8584.12
PIPs++2023.0758.5——
TAPIRSupervision=Supervised2025.1059.5647.4685.76
TAPIR2023.0764.249.685
TAPIRTraining Dataset=Kub, Evaluation Resolution=256 × 2562025.0764.249.685
TAPTRv2Training Dataset=Kub, Evaluation Resolution=256 × 2562025.0764.249.785.7
TAPTRTraining Dataset=Kub, Evaluation Resolution=256 × 2562025.0764.44985.2
TAPNextSupervision=Supervised2025.1064.4652.9789.3
CoTracker2023.0764.548.885.8
CoTracker2Training Dataset=Kub, Evaluation Resolution=384 × 5122025.0764.548.885.8
CoTracker3Supervision=Supervised2025.1065.9954.3589.43
LocoTrackTraining Dataset=Kub, Evaluation Resolution=384 × 5122025.0766.452.382.1
LocoTrackTraining Dataset=Kub, Evaluation Resolution=256 × 2562025.0766.852.985.3
Track-OnTraining Dataset=Kub, Evaluation Resolution=384 × 5122025.0767.353.987.8
TAPTRv3Training Dataset=Kub, Evaluation Resolution=256 × 2562025.0767.554.588.2
CoTracker3 (online)Training Dataset=Kub64+15K, Evaluation Resolution=384 × 5122025.0767.854.787.4
BootsTAPIRTraining Dataset=Kub+15M, Evaluation Resolution=256 × 2562025.0768.454.686.5
Anthro-LocoTrackTraining Dataset=Kub+1.4K, Evaluation Resolution=256 × 2562025.0768.453.986.4
CoTracker3 (offline)Training Dataset=Kub64+15K, Evaluation Resolution=384 × 5122025.0768.555.888.3
Anthro-LocoTrackTraining Dataset=Kub+1.4K, Evaluation Resolution=384 × 5122025.0768.654.885.3
Online TAPIRTraining Dataset=Kub, Evaluation Resolution=256 × 2562025.07—51.5—