3 papers
cs.CV2026
Where Does Texture Evidence Live in SAM? Features, Proposal Masks, and Texture Segmentation
Nadav Orenstein, Aviad Cohen Zada, Shai Avidan +1
Texture segmentation stresses foundation segmentation because meaningful regions are defined by material or repeated appearance rather than object identity. Segment Anything Models…
cs.CV2026
Sub-Semantic Image Segmentation
Aviad Cohen Zada, Nadav Orenstein, Shai Avidan +1
Images can be segmented based on visual cues (i.e., texture segmentation) or into objects (i.e., semantic segmentation). We propose a new category of sub-semantic image segmentatio…
cs.CV2026
Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods
Ofer Idan, Vladi Vexler, Gil Lederman +3
Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest ne…