Unsupervised

FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval
[ WACV 2024 ] We present FOSSIL, a novel Unsupervised Open-Vocabulary Semantic Segmentation model that enables a self-supervised visual backbone to perform open-vocabulary segmentation directly on the visual modality by retrieving a support set of generated synthetic references.
Luca Barsellotti, Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara
PDF Cite
FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval