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Unsupervised Object Segmentation On Davis

Metrics

J score

Results

Performance results of various models on this benchmark

Paper TitleRepository
RCF (with Post-Processing)83.0Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
RCF (without Post-Processing)80.9Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
MOD73.9Motion-inductive Self-supervised Object Discovery in Videos-
OCLR72.1Segmenting Moving Objects via an Object-Centric Layered Representation
GWM71.2Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion-
EM69.8EM-driven unsupervised learning for efficient motion segmentation
MG68.3Self-supervised Video Object Segmentation by Motion Grouping-
SIMO67.8--
AMD57.8The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
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Unsupervised Object Segmentation On Davis | SOTA | HyperAI