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GADet: Geometry-Aware oriented object detection for remote sensing

delete2026-02-04
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PRE
AI
H
Haodong Li
Y
Yan Gong
X
Xinyu Zhang
Z
Ziying Song
L
Lei Yang
H
Haicheng Qu
DOI:10.1016/j.knosys.2026.115475delete
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Abstract

Abstract

En 中文
• Proposes GSA-Conv module for adaptive feature learning on extreme-aspect-ratio objects. • Introduces RSA mechanism to enhance rotation robustness in complex scenes. • Develops CIA pruning for hardware-efficient model deployment without accuracy loss.
Keywords:
GSA-Conv
RSA mechanism
CIA pruning
oriented object detection
remote sensing

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

T
tsinghua university
Scholars:
11.7W
Papers: 9.9W
Citations: 137
B
beijing jiaotong university
Scholars:
1.7K
Papers: 689
Citations: 0
L
liaoning technical university
Scholars:
4.7K
Papers: 2.5K
Citations: 0
N
nanyang technological university
Scholars:
2.5K
Papers: 1.6K
Citations: 1
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