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PSL: Prototype swapping learning for modality imbalance

delete2025-11-15
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PRE
AI
Z
Zan Chen
S
Shunye Zhao
徐萌 cover
徐萌 (Meng Xu)
王博 cover
王博 (Bo Wang)
S
Shiding Sun
Y
Yiwei You
DOI:10.1016/j.neunet.2025.108322delete
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Abstract

Abstract

En 中文
• PSLaddresses modality imbalance by swapping prototypes, exempting from imbalance metrics. • Hybrid prototype combines anchored and other modality prototypes for flexible manipulation. • PSLoutperforms the modulation methods based on the fusion training paradigm. • PSLachieves SoTA performance with an alternate training scheme integration.

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
7.7K
Citations:
3.0W

Organization

U
University of International Business and Economics
Scholars:
488
Papers: 359
Citations: 3.9K
C
china unicom research institute
Scholars:
43
Papers: 28
Citations: 0