3 papers
cs.CV2026
Web Scale on a Budget: Tail-Aware Retrieval Evaluation
Boaz Meivar, Shai Avidan
A common practice in instance retrieval is to grow the gallery size to improve a benchmark's discrimination capability. One prominent example is ILIAS, which adds up to 100 million…
cs.CV2026
Ill-Posed by Design: Probing Evidence Use in VLMs
Boaz Meivar, Shaked Perek, Shani Shvartzman +2
Counterfactual analysis is widely used to study evidence use in vision-language models, but its diagnostic value is limited on well-posed tasks: when several cues independently sup…
cs.CV2025
TextureSAM: Towards a Texture Aware Foundation Model for Segmentation
Inbal Cohen, Boaz Meivar, Peihan Tu +2
Segment Anything Models (SAM) have achieved remarkable success in object segmentation tasks across diverse datasets. However, these models are predominantly trained on large-scale…