Class-attribute inconsistency learning for novelty detection
Pattern Recognition(2022)
摘要
•A new notion of class-attribute inconsistency for novelty detection.•A novelty often has inconsistent class- and attribute-level similar references.•CAILNet outperforms state-of-the-arts by exploring and mining inconsistency.
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关键词
Novelty detection,Class-attribute inconsistency,Class-level similarity,Attribute-level similarity
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