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ResearchFormerly WizWand

Optical Flow Estimation on KITTI flow 2012 (test)

1.6EPELiteFlowNet
1.084.598.111.61Feb 8, 2017May 21, 2017Aug 31, 2017Dec 11, 2017Mar 23, 2018Jul 3, 2018Oct 14, 2018
Updated 8mo ago

Evaluation results

MethodLinks
LiteFlowNetfine-tuned=true2018.021.6
PWC-Netfine-tuned=true2018.021.7
FlowNet2fine-tuned=true2018.021.8
EPC++ (stereo)Backbone=PWC-Net, #params=5.1M2018.102.2
Devonfine-tuned=true2018.022.6
EPC++ (mono)Backbone=PWC-Net, #params=5.1M2018.102.6
FlowFieldsfine-tuned=false2018.023
EpicFlow2017.023.8
EpicFlowUnsupervised=true2017.113.8
EpicFlowfine-tuned=false2018.023.8
OccAwareFlowBackbone=FlowNet-C, #params=39.2M2018.104.2
DF-NetBackbone=FlowNet-C, #params=39.2M2018.104.4
SpyNetfine-tuned=true2018.024.7
FlowNet2017.029.1
FlowNetSUnsupervised=true2017.119.1
FlowNetSfine-tuned=true2018.029.1
Deep Voxel FlowFine-tuning=true2017.029.5
B. Basics2017.029.9
LD Flow2017.0212.4
LDOFUnsupervised=true2017.1112.4
DSTFlowBackbone=FlowNet-C, #params=39.2M2018.1012.4
Super SloMoUnsupervised=true2017.1113
Deep Voxel FlowFine-tuning=false2017.0214.6
DVFUnsupervised=true2017.1114.6