Kaer Huang

Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation

Unsupervised semantic segmentation algorithms aim to identify meaningful semantic groups without annotations. Recent approaches leveraging self-supervised transformers as pre-training backbones have successfully obtained high-level dense features that effectively express semantic coherence. However,…