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Semantic-aware testing for object detection systems

delete2025-09-28
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PRE
AI
X
Xiaoxia Liu
J
Jingyi Wang *
C
Chengfang Fang
J
Jie Shi
张晓东 (Xiao‐Dong Zhang) *
W
Wenhai Wang
DOI:10.1016/j.infsof.2025.107888delete
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Abstract

Abstract

En 中文
• Propose semantic-aware testing metrics on testing adequacy of practical OD systems. • Semantic-driven test case selection to efficiently enhance system robustness. • Propose a semantic-driven test case generation method. • Extensive experimental results demonstrate SeaT-OD’s superior performance.

Journal

Information and Software Technology cover
Information and Software Technology
IF:
4.3
Papers:
3.7K
Citations:
7.7K

Organization

H
huawei technologies
Scholars:
3.3K
Papers: 2.9K
Citations: 1
X
Xidian University
Scholars:
2.4W
Papers: 1.9W
Citations: 9.7K
Z
zhejiang university
Scholars:
17.4W
Papers: 12.0W
Citations: 152
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