Balancing visual context understanding in dialogue for image retrieval

• 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
• Institution: Singapore Management University

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...