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Granular learning for robust vision transformers

delete2025-11-19
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PRE
AI
H
Haoyang Tang
Z
Zongkai Shao
X
Xiao Pan
K
Kai Zeng *
DOI:10.1016/j.asoc.2025.114296delete
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Abstract

Abstract

En 中文
• Granulation, Granular vector and its operations are investigated. • The granular attention, granular linear layer, and granular residual structure are studied based on the operations of the granular vector. • The robust vision transformer is proposed through granular learning, which can be flexibly deployed as a plug-and-play component. • The code is available at https://github.com/sjmp525/IntelligentAlgorithm .

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

U
unionscience technology group co., ltd.
Scholars:
2
Papers: 1
Citations: 0
K
Kunming University of Science and Technology
Scholars:
9.1K
Papers: 2.5K
Citations: 2.1W
Cited Papers

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No cited papers available