SSR: Enhancing CLIP-based Segmentation with Semantic and Spatial Rectification

This research explores improvements to weakly supervised segmentation using CLIP, a promising area for reducing reliance on labeled data. The Semantic and Spatial Rectification (SSR) method is likely the core contribution, though the specific details of its implementation and impact on performance are unclear without the paper.

• •Focuses on improving CLIP-based weakly supervised segmentation.
• •Introduces Semantic and Spatial Rectification (SSR) as a key method.
• •Published on ArXiv, suggesting ongoing research.