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Optical Flow on KITTI 2012 (test)

1.2EPEM2Flow
0.7523.7766.89.824Mar 29, 2020Mar 31, 2021Apr 2, 2022Apr 5, 2023Apr 6, 2024Apr 8, 2025Apr 11, 2026

Evaluation results

MethodLinks
M2FlowSupervision=Unsupervised, Multi-frame data usage=true2026.041.23.956.24
U2Flow (+FF)Supervision=Unsupervised, Multi-frame data usage=true, Bidirectional flow fusion (+FF)=true2026.041.33.476.26
UPFlowLearning paradigm=Unsupervised2020.121.4——
PWC-Net+Mode=Supervised, Parameters=8.8M2024.051.43.36—
UPFlowMode=Unsupervised, Parameters=3.5M2024.051.4——
UnSAMFlow (+aug +hg +mf)Mode=Unsupervised, Parameters=2.6M, SAM used in training=true, SAM used in inference=true2024.051.43.79—
PWC-Net+Supervision=Supervised2026.041.43.366.72
UPFlowSupervision=Unsupervised2026.041.4——
SMURFSupervision=Unsupervised, Multi-frame data usage=true2026.041.43.136.19
UnSAMFlowSupervision=Unsupervised, Semantic inputs=true2026.041.43.797.05
U2FlowSupervision=Unsupervised2026.041.43.486.37
SelFlow-ftSupervision Type=Supervised2020.061.5——
SelFlow-ft+Supervision=Supervised, Multi-frame=true, Geometrical constraints=false2020.031.5——
ARFlow-MVSupervision=Unsupervised, Multi-frame=true, Geometrical constraints=false2020.031.5——
UnSAMFlow (+aug +hg)Mode=Unsupervised, Parameters=2.5M, SAM used in training=true2024.051.53.89—
SemARFlowSupervision=Unsupervised, Semantic inputs=true2026.041.53.97.35
LiteFlowNet-ftFine-tuning status=Yes, Params (M)=5.37, FLOPS (G)=163.5, Time (s) 1080Ti=0.055, Time (s) TX2=0.9072021.031.6——
IRR-PWCMode=Supervised, Parameters=6.4M2024.051.63.21—
UnSAMFlow (baseline)Mode=Unsupervised, Parameters=2.5M2024.051.64.05—
UnSAMFlow (+aug)Mode=Unsupervised, Parameters=2.5M, SAM used in training=true2024.051.64.15—
PWC-Net-ftSupervision Type=Supervised2020.061.7——
LiteFlowNet-ftSupervision=Supervised, Multi-frame=false, Geometrical constraints=false2020.031.7——
PWC-Net-ftSupervision=Supervised, Multi-frame=false, Geometrical constraints=false2020.031.7——
PWC-Net-ftFine-tuning status=Yes, Params (M)=8.75, FLOPS (G)=90.8, Time (s) 1080Ti=0.034, Time (s) TX2=0.4852021.031.7——
LiteFlowNet+ftLearning paradigm=Supervised, Fine-tuning=true2020.121.7——
PWC-Net+ftLearning paradigm=Supervised, Fine-tuning=true2020.121.7——
FlowNet2-ftSupervision Type=Supervised2020.061.8——
UnOSSupervision Type=Unsupervised, Additional Modalities (MDM, SDM, MF)=Stereo depth/motion (SDM)2020.061.8——
FlowNet2-ftSupervision=Supervised, Multi-frame=false, Geometrical constraints=false2020.031.8——
UnOS-stereoSupervision=Unsupervised, Multi-frame=false, Geometrical constraints=true2020.031.8——
ARFlowSupervision=Unsupervised, Multi-frame=false, Geometrical constraints=false2020.031.8——
FlowNet2-ftFine-tuning status=Yes, Params (M)=162.52, FLOPS (G)=24836.4, Time (s) 1080Ti=0.116, Time (s) TX2=1.5472021.031.8——
FastFlowNet-ftFine-tuning status=Yes, Params (M)=1.37, FLOPS (G)=12.2, Time (s) 1080Ti=0.011, Time (s) TX2=0.1762021.031.8——
ARFlowLearning paradigm=Unsupervised2020.121.8——
ARFlowMode=Unsupervised, Parameters=2.2M2024.051.85.02—
ARFlowSupervision=Unsupervised2026.041.8——
UFlow-trainSupervision Type=Unsupervised2020.061.9——
STFlowLearning paradigm=Unsupervised2020.121.9——
UFlowLearning paradigm=Unsupervised2020.121.9——
UFlowMode=Unsupervised2024.051.94.26—
UFlowSupervision=Unsupervised2026.041.94.267.91
SelFlowSupervision Type=Unsupervised, Additional Modalities (MDM, SDM, MF)=Multi-frame flow (MF), Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Related evaluation data2020.062.2——
SelFlowSupervision=Unsupervised, Multi-frame=false, Geometrical constraints=false2020.032.2——
SelFlowLearning paradigm=Unsupervised2020.122.2——
SelFlowMode=Unsupervised, Parameters=4.8M2024.052.24.31—
SelFlowSupervision=Unsupervised, Multi-frame data usage=true2026.042.24.317.68
DDFlowSupervision Type=Unsupervised2020.063——
DDFlowSupervision=Unsupervised, Multi-frame=false, Geometrical constraints=false2020.033——
DDFlowLearning paradigm=Unsupervised2020.123——
DDFlowMode=Unsupervised, Parameters=4.3M2024.0534.57—
EPIFlowSupervision Type=Unsupervised2020.063.4——
EpiFlow-train-ftSupervision=Unsupervised, Multi-frame=false, Geometrical constraints=true2020.033.4——
EpiFlowLearning paradigm=Unsupervised2020.123.4——
OAFlowSupervision Type=Unsupervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Related evaluation data2020.064.2——
OAFlowLearning paradigm=Unsupervised2020.124.2——
DF-NetSupervision Type=Unsupervised, Additional Modalities (MDM, SDM, MF)=Mono depth/motion (MDM)2020.064.4——
NLFlowLearning paradigm=Unsupervised2020.124.5——
UnSAMFlow (+aug +hg +mf)Semantics=SAM2024.057.05——
SemARFlowSemantics=Sem. Seg.2024.057.35——
SDFSemantics=Ins. Seg.2024.057.69——
FlowNetS+ftLearning paradigm=Supervised, Fine-tuning=true2020.129.1——
Back2BasicsSupervision Type=Unsupervised2020.069.9——
BackToBasicLearning paradigm=Unsupervised2020.129.9——
SpyNet+ftLearning paradigm=Supervised, Fine-tuning=true2020.1210.1——
DSTFlowSupervision Type=Unsupervised2020.0612.4——
DSTFlowLearning paradigm=Unsupervised2020.1212.4——