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Optical Flow Estimation on KITTI (test)

6.27F1-allFlow1D
4.12764.68385.245.7962Mar 24, 2023Mar 25, 2023Mar 26, 2023Mar 27, 2023Mar 28, 2023Mar 29, 2023

Evaluation results

MethodLinks
Flow1DTraining=C+T+S+K+H, Params (M)=5.72023.036.27
SCVTraining=C+T+S+K+H, Params (M)=5.32023.036.17
GMATraining=C+T+S+K+H, Params (M)=5.92023.035.15
RAFTTraining=C+T+S+K+H, Params (M)=5.32023.035.1
RAFTTraining Setting=Supervised, warm-start=false2023.035.1
SupervisedTraining Setting=Semi-Supervised / Additional dataset, warm-start=false2023.035.1
AGFlowTraining=C+T+S+K+H, Params (M)=5.62023.034.89
FlowSupervisorTraining Setting=Semi-Supervised / Additional dataset, warm-start=false2023.034.85
SKFlowTraining=C+T+S+K+H, Params (M)=6.32023.034.84
DistractFlowTraining Setting=Supervised, Model=RAFT [30], warm-start=false2023.034.82
CRAFTTraining=C+T+S+K+H, Params (M)=6.32023.034.79
GMFlowNetTraining=C+T+S+K+H, Params (M)=9.32023.034.79
RAFT-ATraining Setting=Semi-Supervised / Additional dataset, warm-start=false2023.034.78
RAFT-OCTCTraining Setting=Semi-Supervised / Additional dataset, Model=RAFT [30], warm-start=false2023.034.72
DistractFlowTraining Setting=Semi-Supervised / Additional dataset, Model=RAFT [30], warm-start=false2023.034.71
FlowFormerTraining=C+T+S+K+H, Params (M)=18.22023.034.68
Separable FlowTraining=C+T+S+K+H, Params (M)=6.02023.034.64
AnyFlow (R.E.)Training=C+T+S+K+H, Params (M)=5.42023.034.64
AnyFlow (dynamic)Training=C+T+S+K+H, Params (M)=5.42023.034.41
DIPTraining=C+T+S+K+H, Params (M)=5.42023.034.21