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Single Object Discovery On Coco 20K

Métriques

CorLoc

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	CorLoc	Paper Title	Repository
MOVE + CAD	71.9	MOVE: Unsupervised Movable Object Segmentation and Detection
LOST	50.7	Localizing Objects with Self-Supervised Transformers and no Labels
IMST	72.2	K-means for unsupervised instance segmentation using a self-supervised transformer	-
MOVE	66.6	MOVE: Unsupervised Movable Object Segmentation and Detection
TokenCut + CAD	62.6	Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
DDT+	38.2	Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming	-
LOST + CAD	57.5	Localizing Objects with Self-Supervised Transformers and no Labels
rOSD	48.5	Toward unsupervised, multi-object discovery in large-scale image collections
rOSD + CAD	53.0	Toward unsupervised, multi-object discovery in large-scale image collections
TokenCut	58.8	Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

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