Align Y our Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

Neural Information Processing Systems 

TPT does not explicitly align the pre-trained CLIP to become aware of the test sample distribution. For the effective test-time adaptation of V -L foundation models, it is crucial to bridge the distribution gap between the pre-training dataset and the downstream evaluation set for high zero-shot generalization.

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