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Dynamic Object Segmentation on EPIC-Kitchens EPIC-Diff (test)

40.3S01 ScoreDIV-FF (full model, image infer.)
7.43615.96824.533.032Mar 11, 2025

Evaluation results

MethodLinks
DIV-FF (full model, image infer.)Mode=image inference, Descriptor=Weighted average (0.75 mask + 0.25 bbox)2025.0340.330.437.429.829.532.630.615.125.133.630.5
DIV-FF (CLIP in SAM masks)Feature type=SAM mask embeddings2025.0330.719.329.624.931.326.128.814.823.835.126.2
DIV-FF (CLIP in patches)Feature type=CLIP patch features, Geometry model=Dynamic (NeuralDiff)2025.0326.921.718.316.818.124.917.312.317.923.619.8
LERFStatic scene assumption=true2025.0322.110.111.79.713.218.612.56.2195.512.8
DIV-FF (full model, video infer.)Mode=video inference, Feature field=parallel video-language2025.0316.115.49.39.521.820.710.718.517.920.616.6
NeuralDiff + OWL-ViTBackbone=NeuralDiff, Detector=OWL-ViT2025.039.410.213.215.49.413.314.523.223.728.916.1
NeuralDiff + OWL-ViT + SAMBackbone=NeuralDiff, Detector=OWL-ViT, Masking=SAM2025.038.712.623.223.913.815.917.82832.941.121.7