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Semantic-aware segmentation fusion with comprehensive interactive feature mapping

delete2025-10-28
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PRE
AI
Q
Quan Wu
陈智伟 (Zhiwei Chen)
H
Haitao Lin
Q
Qida Yu *
F
Fuju Yan
DOI:10.1016/j.infrared.2025.106233delete
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Abstract

Abstract

En 中文
• We proposed a comprehensive interactive feature mapping for semantic-aware segmentation fusion. • We designed a hybrid encoder to fully extract global and fine-grained features. • We constructed an interactive feature mapping module to effectively enhance the semantic information.

Journal

I
Infrared Physics and Technology
IF:
3.4
Papers:
5.8K
Citations:
1.2W

Organization

N
Nanjing University of Information Science
Scholars:
424
Papers: 150
Citations: 0
S
Shandong Agricultural University
Scholars:
1.5W
Papers: 7.7K
Citations: 8
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