#Zero-shot Semantic Segmentation

This resource provides an overview of the latest methodologies in open-vocabulary semantic segmentation, including fully-supervised, weakly-supervised, and training-free methods. It features projects like LSeg, OpenSeg, and SegCLIP, and explores zero-shot learning and open-vocabulary object detection. The document includes links to pertinent research papers and code, serving as a valuable guide for comprehending recent advancements in image segmentation.