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Context-Semantic Quality Awareness Network for fine-grained visual categorization

delete2025-07-01
delete0
PRE
AI
Q
Qin Xu
S
Sitong Li
J
Jiahui Wang
B
Bo Jiang
B
Bin Luo
唐金辉 cover
唐金辉 (Jinhui Tang)
DOI：10.1016/j.patcog.2025.112033delete
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Abstract

Abstract

En 中文
• A novel end-to-end CSQA-Net is proposed for fine-grained visual categorization. • The multi-level semantic quality evaluation module is proposed. • The part navigator is developed to accurately locate discriminative parts. • The multi-part and multi-scale cross-attention is designed.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

No organization information available