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...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10810386/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|