Improve Fine-Grained Feature Learning in Fine-Grained DataSet GAI

This article starts from the perspective of breaking the integrity of the feature matrix, dividing it into retained and sacrificed parts, and using the sacrificed parts to strengthen the retained parts. We propose SpiltAtt and ShuSpilt modules to sacrifice some features to enhance the backbone witho...

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Bibliographic Details
Main Authors: Hai Peng Wang, Zhi Qing Geng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10810386/
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