The familiarity hypothesis: Explaining the behavior of deep open set methods
Pattern Recognition(2022)
摘要
•Open set detection using the maximum logit score of a softmax classifier matches the current state of the art.•Familiarity Hypothesis: The Max Logit method detects the absence of familiarity rather than the presence of novelty.•The reduced activity of positively-weighted object-relevant features accounts for most of the Max Logit score.
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关键词
Anomaly detection,Open set learning,Computer vision,Object recognition,Novel category detection,Representation learning,Deep learning
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