ReTA improves CLIP's test-time adaptation by reweighting sample selection with prediction consistency and adapting class decision boundaries via Gaussian text embeddings.
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Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations
ReTA improves CLIP's test-time adaptation by reweighting sample selection with prediction consistency and adapting class decision boundaries via Gaussian text embeddings.