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What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective

Huang, Jiazhen et al.
arXiv (All) · Papers
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Vision-Language Models (VLMs) such as CLIP have become a standard backbone for open-vocabulary recognition, yet their zero-shot predictions remain vulnerable to distribution shifts encountered at deployment. Test-Time Adaptation (TTA) has recently been extended to CLIP as a lightweight solution, lea
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