Tuning-free Universally-Supervised Semantic Segmentation

Xiaobo Yang, Xiaojin Gong

This work presents a tuning-free semantic segmentation framework based on classifying SAM masks by CLIP, which is universally applicable to various types of supervision. Initially,…