Abstract: Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have achieved very ...
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Abstract: Advancements in vision-language models (VLMs) have propelled the field of computer vision, particularly in the zero-shot learning setting. Despite their promise, the effectiveness of these ...
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