نسخة أولية وصول مفتوح
Exploiting Target Knowledge from MLLMs for Robust Few-Shot Segmentation
Few-shot segmentation (FSS) aims to segment unseen object categories with a few (e.g., one or five) labeled examples, enabling efficient adaptation to novel classes. Conventional models typically rely on appearance-based visual matching between support and query images for segmentation. While straightforward, these met …