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Optical Flow on KITTI (train)

0.337Fl-allPWC-Net
-0.0012080.0865960.17440.262204Apr 14, 2022Dec 17, 2022Aug 22, 2023Apr 25, 2024Dec 29, 2024Sep 2, 2025May 8, 2026

Evaluation results

MethodLinks
PWC-NetTraining dataset=C+T2022.040.33710.35
PWC-NetTraining=C+T, Params (M)=9.42023.030.33710.35
PWC-NetFrames=2, Zero-shot=true2026.030.33710.4
FlowNet2Training dataset=C+T2022.040.310.08
GMFlowFrames=2, Zero-shot=true2026.030.28711.2
LightFlowNetTraining dataset=C+T2022.040.28510.39
RAFT-smallTraining dataset=C+T2022.040.2697.51
LightFlowNet2Training dataset=C+T2022.040.2598.97
VCNTraining dataset=C+T2022.040.2518.36
HD3Training dataset=C+T2022.040.2413.17
GMFlowTraining=C+T, Params (M)=4.72023.030.2347.77
MaskFlowNetTraining dataset=C+T2022.040.231—
Flow1DTraining=C+T, Params (M)=5.72023.030.22956.69
RAFT-small + OCTCTraining dataset=C+T2022.040.2216.53
SCVTraining=C+T, Params (M)=5.32023.030.1936.8
CRAFTTraining=C+T, Params (M)=6.32023.030.1754.88
RAFTTraining dataset=C+T2022.040.1745.04
RAFTTraining=C+T, Params (M)=5.32023.030.1745.04
RAFT-SupervisedLabeled data=C + T2024.030.1745.04
RAFTFrames=2, Zero-shot=true2026.030.1745.04
GMATraining=C+T, Params (M)=5.92023.030.1714.69
GMALearning Setting=Supervised, Labeled data=C+T2023.030.1714.88
GMAFrames=2, Zero-shot=true2026.030.1714.69
AGFlowTraining=C+T, Params (M)=5.62023.030.174.82
RAFTLearning Setting=Supervised, Labeled data=C+T2023.030.1694.94
DistractFlowLearning Setting=Supervised, Base Model=GMA, Labeled data=C+T2023.030.1694.76
FlowFormer (small)Training=C+T, Params (M)=6.22023.030.16624.57
DistractFlowLearning Setting=Supervised, Base Model=RAFT, Labeled data=C+T2023.030.1644.57
RAFT + OCTCTraining dataset=C+T2022.040.1634.72
RAFT-OCTCLearning Setting=Semi-Supervised, Labeled data=T (subsampled)2023.030.1634.72
RAFT-OCTCLabeled data=C + T, Unlabeled data=T (subsampled)2024.030.1634.72
Separable FlowTraining=C+T, Params (M)=6.02023.030.1594.6
Fixed TeacherLearning Setting=Semi-Supervised, Labeled data=C+T, Unlabeled data=S/K2023.030.1594.91
Fixed TeacherLabeled data=C + T, Unlabeled data=T (subsampled)2024.030.1594.91
SKFlowTraining=C+T, Params (M)=6.32023.030.1554.27
GMFlowNetTraining=C+T, Params (M)=9.32023.030.1544.24
FlowFormerLearning Setting=Supervised (Reference), Labeled data=C+T2023.030.1544.29
VideoFlow-BOF*Frames=3, Zero-shot=true2026.030.1533.96
FlowFormerTraining=C+T, Params (M)=18.22023.030.14724.09
FlowFormerLearning Setting=Supervised, Labeled data=C+T2023.030.1474.1
FlowFormerFrames=2, Zero-shot=true2026.030.1474.09
Flowformer++Frames=2, Zero-shot=true2026.030.1423.93
VideoFlow-MOF*Frames=5, Zero-shot=true2026.030.1423.89
DistractFlowLearning Setting=Supervised, Base Model=FlowFormer, Labeled data=C+T2023.030.1394
AnyFlow + GMATraining=C+T, Params (M)=6.02023.030.13744.05
DIPTraining=C+T, Params (M)=5.42023.030.13734.29
DIPFrames=2, Zero-shot=true2026.030.1374.29
MemFlowFrames=3, Zero-shot=true2026.030.1373.88
AnyFlow (dynamic)Training=C+T, Params (M)=5.42023.030.13013.95
RPKNetFrames=2, Zero-shot=true2026.030.13—
SEA-RAFT (L)Frames=2, Zero-shot=true2026.030.1293.62
WAFT-DINOv3-a2Frames=2, Zero-shot=true2026.030.1293.49
MemFlow-TFrames=3, Zero-shot=true2026.030.1283.38
StreamFlowFrames=4, Zero-shot=true2026.030.1263.85
AnyFlow (R.E.)Training=C+T, Params (M)=5.42023.030.12443.76
AnyFlowFrames=2, Zero-shot=true2026.030.1243.76
SAMFlowFrames=2, Zero-shot=true2026.030.1233.44
DistractFlowLearning Setting=Semi-Supervised, Base Model=FlowFormer, Labeled data=C+T, Unlabeled data=S/K2023.030.1183.03
FlowDiffuserFrames=2, Zero-shot=true2026.030.1183.61
DistractFlowLearning Setting=Semi-Supervised, Base Model=RAFT, Labeled data=C+T, Unlabeled data=S/K2023.030.1173.01
DistractFlowLabeled data=C + T, Unlabeled data=S/K2024.030.1173.01
FlowSupervisorLearning Setting=Semi-Supervised, Labeled data=C+T, Unlabeled data=S/K2023.030.1113.35
FlowSupervisorLabeled data=C + T, Unlabeled data=T (subsampled)2024.030.1113.35
DistractFlowLearning Setting=Semi-Supervised, Base Model=GMA, Labeled data=C+T, Unlabeled data=S/K2023.030.113.21
UFMFrames=2, Zero-shot=true2026.030.112.96
MegaFlowFrames=4, Zero-shot=true2026.030.1073.2
MegaFlowFrames=2, Zero-shot=true2026.030.1063
RealFlowLabeled data=C + T, Unlabeled data=S/K2024.030.0852.16
OCAILabeled data=C + T, Unlabeled data=S/K2024.030.0762.07
GMFlow#refine=02026.050.07572.06
Ours#refine=02026.050.0741.99
PWC-Net+Training dataset=C+T+S+K+H2022.040.0531.5
GMFlow#refine=12026.050.05171.36
SKFlowEvaluation Protocol=Finetuning2023.060.0484—
LiteFlowNet2Training dataset=C+T+S+K+H2022.040.0481.47
CRAFTEvaluation Protocol=Finetuning2023.060.0479—
FlowFormerEvaluation Protocol=Finetuning2023.060.0468—
RAFT-OCTCEvaluation Protocol=Finetuning2023.060.0433—
RAFT-itEvaluation Protocol=Finetuning, Extra Datasets (AutoFlow and VIPER)=true2023.060.0431—
VCNTraining dataset=C+T+S+K+H2022.040.0411.16
FlowSeek (T)Extra Data=TartanAir, #refine=42026.050.0391.26
DDVMEvaluation Protocol=Finetuning, Extra Datasets (AutoFlow and VIPER)=true2023.060.0326—
SEA-RAFT (S)Extra Data=TartanAir, #refine=42026.050.02650.93
RAFT + OCTCTraining dataset=C+T+S+K+H, trained on KITTI-2012 and KITTI-2015 datasets=true2022.040.0230.78
RAFT + OCTCTraining dataset=C+T+S+K+H, trained including test images as unlabeled data=true2022.040.020.71
RAFT + OCTCTraining dataset=C+T+S+K+H2022.040.0170.67
RAFTTraining dataset=C+T+S+K+H2022.040.0150.63
RAFT#refine=322026.050.01470.63
GMATraining dataset=C+T+S+K+H2022.040.0120.57
SelFlowTraining dataset=C+T+S+K2022.040.0118—
RAFT-ALearning Setting=Semi-Supervised, Labeled data=AutoFlow2023.03—4.23
RAFT-ALabeled data=AutoFlow [39]2024.03—4.23