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Auto-metric network for open-set recognition
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DOI：10.1016/j.eswa.2026.133859.png)
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Abstract
En 中文
• An automatic metric function for open-set recognition was proposed. • A boundary sample generator was designed. • An alternate training strategy was proposed. • Achieving competitive results on six benchmark datasets.
Keywords:
Open-set recognition
Image classification
Auto-metric
Boundary sample generator
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
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Cited Papers