Papers by Zhouzhili Zhouzhili

1 papers
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions (2024.findings-acl)

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Challenge: Existing approaches to image retrieval from contextual descriptions (IRCD) lag behind human performance in IRCD.
Approach: They propose a method that relies on a doubly contextual alignment scheme for challenging IRCD.
Outcome: The proposed method can yield comparable results with GPT-4V, despite fewer parameters.

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