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Semantic-aware testing for object detection systems
DOI:10.1016/j.infsof.2025.107888.png)
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
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4.3
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3.7K
Citations:
7.7K

