Papers with multi-modal representation capability

1 papers
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval (2024.acl-long)

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Challenge: Existing methods for multimodal retrieval are mostly text-oriented, which lack the capability to process visual information.
Approach: They propose a multi-modal multi-text embedding model VISTA which extends a powerful text encoder with the image understanding capability by introducing visual token embedds.
Outcome: The proposed model achieves superior performance across a variety of multi-modal retrieval tasks in zero-shot and supervised settings.

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