UniIR
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Paper summary
UniIR is a unified instruction-guided multimodal retriever that handles eight retrieval tasks across modalities with a single model.
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01
Instruction-guided: A single retriever conditioned on natural-language instructions determines which retrieval task to perform, rather than one retriever per task.
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Eight tasks: Handles image-to-text, text-to-image, composed-image retrieval, video retrieval, and other multimodal variants under one umbrella.
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Zero-shot generalization: Generalizes to unseen retrieval tasks not explicitly trained on, approaching a truly general multimodal retrieval model.
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M-BEIR benchmark: Ships with a new multimodal retrieval benchmark (M-BEIR) designed to standardize evaluation across tasks and modalities.