SIMMER uses a single multimodal LLM (VLM2Vec) with custom prompts and partial-recipe augmentation to embed food images and recipes, achieving new state-of-the-art retrieval accuracy on Recipe1M.
Learning Text-image Joint Embedding for Effi- cient Cross-modal Retrieval with Deep Feature Engineer- ing.ACM Transactions on Information Systems, 40(4):74:1– 74:27
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SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding
SIMMER uses a single multimodal LLM (VLM2Vec) with custom prompts and partial-recipe augmentation to embed food images and recipes, achieving new state-of-the-art retrieval accuracy on Recipe1M.