SOTAVerified

Unsupervised Semantic Segmentation with Language-image Pre-training

A segmentation task which does not utilise any human-level supervision for semantic segmentation except for a backbone which is initialised with features pre-trained with image-level labels.

Papers

Showing 1114 of 14 papers

TitleStatusHype
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingCode1
Extract Free Dense Labels from CLIPCode1
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural EnhancementsCode1
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text PairsCode1
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