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Found 2 papers, 2 papers with code
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Advancements in vision-language models (VLMs) have propelled the field of computer vision, particularly in the zero-shot learning setting.
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
However, this assumption is under-explored due to the poorly understood geometry of the multi-modal contrastive space, where a modality gap exists.
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