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ResearchFormerly WizWand

Optical Flow on KITTI-15 (test)

2.94Fl-allMEMFOF
1.654810.329919.00527.6801Dec 6, 2016May 11, 2018Oct 14, 2019Mar 18, 2021Aug 21, 2022Jan 24, 2024Jun 29, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MEMFOF2025.062.94
DDVM2025.063.26
CrocoFlow2025.063.64
VideoFlow-MOFModule=MOF2025.063.65
MemFlow-TVariant=Tiny2025.063.88
MemFlow2025.064.1
DIPTraining=C+T+S+K(+H)2024.064.21
StreamFlow2025.064.24
SEA-RAFT (L)Variant=Large2025.064.3
ProMotionTraining=C+T+S+K(+H)2024.064.3
VideoFlow-BOFModule=BOF2025.064.44
KPA-FlowTraining=C+T+S+K(+H)2024.064.6
SEA-RAFT (M)Variant=Medium2025.064.64
RPKNet2025.064.64
Separable FlowTraining=C+T+S+K(+H)2024.064.64
FlowFormer2025.064.68
FlowFormerTraining=C+T+S+K(+H), Tile technique=true2024.064.68
MatchFlowTraining=C+T+S+K(+H)2024.064.72
GMFlowNetTraining=C+T+S+K(+H)2024.064.79
CRAFTTraining=C+T+S+K(+H)2024.064.79
SKFlowTraining=C+T+S+K(+H)2024.064.84
AGFlowTraining=C+T+S+K(+H)2024.064.89
MeFlow2025.064.95
RAFT2025.065.1
RAFTTraining=C+T+S+K(+H)2024.065.1
GMA2025.065.15
GMATraining=C+T+S+K(+H)2024.065.15
Flow1D2025.066.27
HD3F-ftFine-tuning=true2018.126.55
PRSMFine-tuning=false2018.126.68
MFFmulti-frame=true2019.047.17
IRR-PWC2019.047.65
PWC-Net+2019.047.72
PWC-Net-ftfine-tuned=true2018.097.9
PWC-Netfine-tuned=true2018.029.16
GMFlowTraining=C+T+S+K(+H)2024.069.32
LiteFlowNet-ftCategory=Lightweight CNN, fine-tuned=true2018.059.38
LiteFlowNet-arXivfine-tuned=true2018.099.38
LiteFlowNetfine-tuned=true2018.029.38
LiteFlowNet2019.049.38
PWC-Net2025.069.6
PWC-Net-ft-CVPRfine-tuned=true2018.099.6
PWC-Net-ftFine-tuning=true2018.129.6
PWC-Net2019.049.6
PWC-NetTraining=C+T+S+K(+H)2024.069.6
ContinualFlow_ROB+multi-frame=true2019.0410.03
LiteFlowNet-CVPRfine-tuned=true2018.0910.24
LiteFlowNet-ftFine-tuning=true2018.1210.24
MirrorFlow2018.0910.29
MirrorFlowFine-tuning=false2018.1210.29
MirrorFlow2019.0410.29
FlowNet22025.0610.41
FlowNet2-ftfine-tuned=true2018.0910.41
FlowNet2fine-tuned=true2018.0210.41
FlowNet2-ftFine-tuning=true2018.1210.41
FlowNet22019.0410.41
SDF2018.0911.01
FlowNet2-ft-kittiCategory=Heavyweight CNN, fine-tuned=KITTI2018.0511.48
FlowNet2-ft-kittibackbone=GPU, runtime=123ms, fine-tuned=KITTI2016.1211.48
MRFlow2018.0912.19
MRFlowfine-tuned=false2018.0212.19
Devonfine-tuned=true2018.0214.31
DCFlow2018.0914.83
DCFlowfine-tuned=false2018.0214.83
DC FlowCategory=Hybrid2018.0514.86
Bailer et al.Category=Hybrid2018.0519.44
FlowFields2018.0919.8
FlowFieldsFine-tuning=false2018.1219.8
PatchBatch2018.0921.07
PatchBatchFine-tuning=false2018.1221.07
Deep DiscreteFlowCategory=Hybrid2018.0521.17
CPM-flow2018.0922.4
FullFlow2018.0923.37
FullFlowFine-tuning=false2018.1223.37
EpicFlow2018.0926.29
EpicFlowFine-tuning=false2018.1226.29
EpicFlowCategory=Conventional2018.0527.1
EpicFlow+backbone=CPU, runtime=42,600ms2016.1227.1
EpicFlowfine-tuned=false2018.0227.1
DeepFlowCategory=Conventional2018.0529.18
DeepFlow+backbone=CPU, runtime=51,940ms2016.1229.18
SPyNet-ftCategory=Lightweight CNN, fine-tuned=true2018.0535.07
SpyNet-ftfine-tuned=true2018.0935.07
SpyNetfine-tuned=true2018.0235.07
SpyNet-ftFine-tuning=true2018.1235.07