BCT-CLIP improves few-shot CLIP classification by aligning learned patch-aware property tokens with LLM-selected dominant property descriptions and combining them with class-token caches.
Siamese neural networks for one-shot image recognition,
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Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification
BCT-CLIP improves few-shot CLIP classification by aligning learned patch-aware property tokens with LLM-selected dominant property descriptions and combining them with class-token caches.