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Optical Flow on Middlebury (test)

0.32AEEClassic+NLP
0.30960.37980.450.5202Nov 3, 2016Feb 4, 2017May 9, 2017Aug 10, 2017Nov 12, 2017Feb 13, 2018May 18, 2018
Updated 8mo ago

Evaluation results

MethodLinks
Classic+NLPCategory=Conventional2018.050.32
Classic+NLPFine-tuned=false, Time (s)=1022016.110.32
FlowFieldsbackbone=CPU, runtime=22,810ms2016.120.33
EPPMbackbone=GPU, runtime=200ms2016.120.33
FlowFieldsCategory=Conventional2018.050.33
EpicFlow+backbone=CPU, runtime=42,600ms2016.120.39
EpicFlowCategory=Conventional2018.050.39
LiteFlowNet-ftCategory=Lightweight CNN, fine-tuned=true2018.050.4
DeepFlow+backbone=CPU, runtime=51,940ms2016.120.42
DeepFlowCategory=Conventional2018.050.42
FlowNet2backbone=GPU, runtime=123ms2016.120.52
FlowNet2Category=Heavyweight CNN2018.050.52
LDOF (CPU)backbone=CPU, runtime=64,900ms2016.120.56
LDOFCategory=Conventional2018.050.56
SPyNetCategory=Lightweight CNN2018.050.58
SPyNet-ftCategory=Lightweight CNN, fine-tuned=true2018.050.58
SPyNetFine-tuned=false, Time (s)=0.0692016.110.58
SPyNetFine-tuned=true, Time (s)=0.0692016.110.58