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.
MALM: Mask Augmentation based Lo- cal Matching for Food-Recipe Retrieval
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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.