Alleviating the inconsistency of multimodal data in cross-modal retrieval

Alleviating the inconsistency of multimodal data in cross-modal retrieval

With the explosive growth of multimodal Internet data, cross-modal hashing retrieval has become crucial for semantically searching instances across different modalities. However, existing cross-modal retrieval methods rely on assumptions of perfect consistency between modalities and between modaliti...

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Bibliographic Details
Main Authors: Li, Tieying, Yang, Xiaochun, Ke, Yiping, Wang, Bin, Liu, Yinan, Xu, Jiaxing
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Disentangled hash learning
Cross-modal retrieval
Cross-modal hashing
Label refinement
Cross-modal common semantic alignment
Online Access:https://hdl.handle.net/10356/180605

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