arXiv (All)
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To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models
Test-time adaptation (TTA) has emerged as a prominent strategy for adapting vision-language models to distribution shifts during inference. We conduct a per-sample analysis of model predictions before and after adaptation, and observe two failure modes in existing TTA methods that echo previous work
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