Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs

Junbum Cha, Jonghwan Mun, Byungseok Roh

We tackle open-world semantic segmentation, which aims at learning to segment arbitrary visual concepts in images, by using only image-text pairs without dense annotations. Existin…