Balancing visual context understanding in dialogue for image retrieval

Balancing visual context understanding in dialogue for image retrieval

In the realm of dialogue-to-image retrieval, the primary challenge is to fetch images from a pre-compiled database that accurately reflect the intent embedded within the dialogue history. Existing methods often overemphasize inter-modal alignment, neglecting the nuanced nature of conversational cont...

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Bibliographic Details
Main Authors: WEI, Zhaohui, LIAO, Lizi, DU, Xiaoyu, XIANG, Xinguang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Dialogue-to-image retrieval
Dialogue history comprehension
Visual context understanding
Artificial Intelligence and Robotics
Computer Sciences
Online Access:https://ink.library.smu.edu.sg/sis_research/9693
https://ink.library.smu.edu.sg/context/sis_research/article/10693/viewcontent/2024.findings_emnlp.465.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9693
https://ink.library.smu.edu.sg/context/sis_research/article/10693/viewcontent/2024.findings_emnlp.465.pdf

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