TAG: Guidance-free Open-Vocabulary Semantic Segmentation

arXiv:2403.11197v1 Announce Type: new
Abstract: Semantic segmentation is a crucial task in computer vision, where each pixel in an image is classified into a category. However, traditional methods face significant challenges, including the need for pixel-level annotations and extensive training. Furthermore, because supervised learning uses a limited set of predefined categories, models typically struggle with rare classes and cannot recognize new ones. Unsupervised and open-vocabulary segmentation, proposed to tackle these issues, faces challenges, including the inability to assign specific class …

arxiv cs.cv free guidance segmentation semantic tag type