arXiv (OAI Expanded)
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Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption
Pre-trained vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated a remarkable generalizability, enabling a wide range of applications, including zero-shot classification. However, vision-language models still struggle to handle distribution shifts, where
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