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Study audits entropy-based view selection for test-time adaptation of vision-language models

A new arXiv paper examines what entropy-based view selection cannot see when used for test-time adaptation of vision-language models like CLIP, which can classify images into categories they were never explicitly trained on but lose accuracy under distribution shifts.

Read the full story at arXiv cs.CV ↗

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  1. 2026-11-13 05:00 · arXiv cs.CV
    What Entropy-Based View Selection Cannot See: An Audit of Test-Time Adaptation for Vision-Language Models

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