FACap contributes 227,680 fashion CIR triplets with VLM/LLM-generated modification texts, and FashionBLIP-2 trained on it reaches 44.63 average Recall on FashionIQ without downstream fine-tuning and 65.97 with fine-tuning.
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FACap: A Large-scale Fashion Dataset for Fine-grained Composed Image Retrieval
FACap contributes 227,680 fashion CIR triplets with VLM/LLM-generated modification texts, and FashionBLIP-2 trained on it reaches 44.63 average Recall on FashionIQ without downstream fine-tuning and 65.97 with fine-tuning.