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Figure-ground Motion Segmentation on i.i.d. Original videos (test)

90.8IoUFlowFormer++
48.99259.84670.781.554Nov 3, 2024

Evaluation results

MethodLinks
FlowFormer++Training Dataset=Sintel2024.1190.894.2
GMATraining Dataset=Flying Things 3D2024.1190.293.8
FlowFormer++Training Dataset=Flying Things 3D2024.1190.193.5
GMA (+P)Training Dataset=Mixed2024.1189.593.2
GMATraining Dataset=Flying Things3D + Sintel2024.118992.8
GMATraining Dataset=Mixed2024.118992.7
RAFTTraining Dataset=Flying Things3D + Sintel2024.1188.692.4
GMFlow (2 scales, 6 refinements)Training Dataset=Flying Things 3D2024.1188.592.5
RAFTTraining Dataset=Mixed2024.1188.592.5
GMA (P-only)Training Dataset=Mixed2024.1188.192
RAFTTraining Dataset=Flying Things3D2024.1186.990.9
GMATraining Dataset=Flying Things3D2024.1186.790.9
GMA (P-only)Training Dataset=Flying Things3D2024.1186.790.9
GMA (+P)Training Dataset=Flying Things3D2024.118589.4
GMFlow (1 scale)Training Dataset=Mixed2024.1184.389.7
FlowNet2 CSSTraining Dataset=Flying Things3D2024.1183.789.6
FlowNet2 SDTraining Dataset=FlyingChairs2024.1182.888.4
GMFlow (2 scales, 6 refinements)Training Dataset=Sintel2024.1182.387.4
GMFlow (2 scales, 6 refinements)Training Dataset=Mixed2024.1182.387.4
FlowNet2Training Dataset=Flying Things3D2024.1182.187.7
FlowNet2 CSTraining Dataset=Flying Things3D2024.118086.7
GMFlow (1 scale)Training Dataset=Flying Things 3D2024.1179.785.9
Motion EnergyTraining Dataset=N/A2024.1175.984.5
GMFlow (2 scales)Training Dataset=Mixed2024.1174.382.2
FlowFormer++Training Dataset=Flying Chairs2024.1174.180
FlowNet2 CSSTraining Dataset=FlyingChairs2024.1173.581.8
GMFlow (2 scales)Training Dataset=Sintel2024.1173.381.2
PWC-NetTraining Dataset=Flying Things3D2024.1172.981.5
GMFlow (2 scales)Training Dataset=Flying Things 3D2024.1170.479.3
FlowNet2 CSTraining Dataset=FlyingChairs2024.1166.976
GMA (P-only)Training Dataset=FlyingChairs2024.1166.374.3
FlowNet2Training Dataset=FlyingChairs2024.1166.275.7
RAFTTraining Dataset=FlyingChairs2024.1164.771.8
GMA (+P)Training Dataset=FlyingChairs2024.1164.671.7
GMATraining Dataset=FlyingChairs2024.1164.372.4
PWC-NetTraining Dataset=KITTI2024.116071.5
GMATraining Dataset=KITTI2024.1157.967.9
GMA (P-only)Training Dataset=KITTI2024.1156.765
PWC-NetTraining Dataset=FlyingChairs2024.1154.466.2
GMA (+P)Training Dataset=KITTI2024.115263
RAFTTraining Dataset=KITTI2024.1150.660