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Point Tracking on TAP-Vid Kinetics

90.5Overall AccuracyTrack-On-R
56.07665.01373.9582.887Jul 23, 2024Oct 30, 2024Feb 7, 2025May 17, 2025Aug 25, 2025Dec 2, 2025Mar 12, 2026

Evaluation results

MethodLinks
Track-On-RTraining Strategy=Real-World Fine-Tuning2026.0390.557.871
TAPNextSupervision=Supervised2025.1290.0654.94—
Track-On2Training Strategy=Synthetic Pretraining2026.0389.655.369.3
CoTracker3Supervision=Supervised2025.1289.4354.35—
DINTR2024.1089.457.872.5
AllTrackerTraining Strategy=Real-World Fine-Tuning, Leverages additional optical-flow=true2026.0389.156.869.3
CoTracker3 (Window)Training Strategy=Real-World Fine-Tuning2026.0388.355.868.5
TAPIR2024.1087.657.170
CoTracker3†Training Dataset=Kub. + 15k, Steps=65k, Sequence Length=60-80, Batch Size=322025.1287.554.767.8
BootsTAPNext-BTraining Strategy=Real-World Fine-Tuning2026.0387.457.370.6
CoTracker3 (Window)Training Strategy=Synthetic Pretraining2026.0387.154.166.6
TAPNext-BTraining Strategy=Synthetic Pretraining2026.038753.367.9
CoTracker-SingleEvaluation Mode=First, Input Resolution=256x2562024.0786.548.764.3
BootsTAPIRTraining Dataset=Kub. + 15M, Steps=200k, Sequence Length=24, Batch Size=1,5362025.1286.554.668.4
BootsTAPIRTraining Strategy=Real-World Fine-Tuning2026.0386.554.668.4
Anthro-LocoTrackTraining Strategy=Real-World Fine-Tuning2026.0386.453.968.4
BootsTAP+Evaluation Mode=First, Input Resolution=256x256, Extra Training Data=15M video clips2024.0786.354.768.5
TAPTRv2Evaluation Mode=First, Input Resolution=256x256, Backbone=ResNet-502024.0785.749.764.2
LocoTrackTraining Strategy=Synthetic Pretraining2026.0385.352.966.8
TAPTREvaluation Mode=First, Input Resolution=256x256, Backbone=ResNet-502024.0785.24964.4
TAPTRv2Training Dataset=Kub., Steps=44k, Sequence Length=-, Batch Size=322025.1285.24964.4
TAP-Net2024.108546.660.9
TAPIREvaluation Mode=First, Input Resolution=256x2562024.078549.664.2
TAPIRTraining Dataset=Kub., Steps=50k, Sequence Length=24, Batch Size=42025.128549.664.2
TAPIRTraining Strategy=Synthetic Pretraining2026.038549.664.2
DiTrackerTraining Dataset=Kub., Steps=36k, Sequence Length=46, Batch Size=42025.1284.554.367.4
Opt-CWMSupervision=Self-Supervised2025.1284.1244.85—
TAPIRSupervision=Supervised2025.1282.1645.58—
LocoTrackTraining Dataset=Kub., Steps=400k, Sequence Length=24-48, Batch Size=82025.1282.152.366.4
TAP-NetSupervision=Supervised2025.1280.8834.59—
TAP-NetEvaluation Mode=First, Input Resolution=256x2562024.0780.638.554.4
Kubric-VFS-Like2024.108040.559
Context-PIPsEvaluation Mode=First, Input Resolution=256x2562024.0779.8——
RAFT2024.1079.734.552.5
CoTracker3Training Dataset=Kub., Steps=50k, Sequence Length=60, Batch Size=322025.1278.749.362.7
HeFTSupervision=Zero-Shot, Backbone=Cosmos-Predict2-2B2025.1278.636.64—
PIPs2024.1077.135.154.8
HeFTSupervision=Zero-Shot, Backbone=Wan2.1-1.3B2025.1273.630—
PIPsEvaluation Mode=First, Input Resolution=256x2562024.0772.931.753.7
MFTEvaluation Mode=First, Input Resolution=256x2562024.0772.739.660.4
Point-PromptingSupervision=Zero-Shot2025.1271.3927.36—
GMRWSupervision=Self-Supervised2025.1271.3325.7—
HeFTSupervision=Zero-Shot, Backbone=CogvideoX-2B2025.1266.2217.29—
DIFTSupervision=Zero-Shot2025.1263.1715.1—
SD-DINOSupervision=Zero-Shot2025.1262.7916.47—
DINOv2+NNSupervision=Zero-Shot2025.1262.4512.69—
RAFTSupervision=Supervised2025.1259.7821.52—
COTR2024.1057.41938.8
AccFlowzero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——38.8
MegaFlowzero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——65.5
MemFlow-Tzero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——64.9
RAFTzero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——64.3
SEA-RAFTzero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——64.3
WAFT-DINOv3-a2zero-shot=true, input resolution=384 × 512, trained on=optical flow datasets exclusively2026.03——61