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C2AE: Class Conditioned Auto-Encoder for Open-set Recognition

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哲东 郑

The document discusses a model called C2AE (Class Conditioned Auto-Encoder) for open-set recognition. C2AE is an auto-encoder trained with a conditional decoder to learn class-specific representations, allowing it to detect unknown classes during open-set identification. The document examines what threshold scores and operating points work best for open-set identification tasks using C2AE, which models unknown class likelihoods through extreme value theory modeling during conditional decoder training.

Technologie
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C2AE: Class Conditioned Auto-Encoder for Open-set Recognition CVPR2019 Oral
1) what is a good score for open-set identification? 2) what is a good operating threshold for the model? Open-set Recognition
C2AE
C2AE: Class Conditioned Auto-Encoder
C2AE: Class Conditioned Auto-Encoder Optim: Conditional Decoder Training
C2AE: Class Conditioned Auto-Encoder Extreme Value Theory Modeling
C2AE: Class Conditioned Auto-Encoder
C2AE: Class Conditioned Auto-Encoder
Open-set Identification
Open-set Recognition

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