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.

1. C2AE: Class Conditioned Auto-Encoder
for Open-set Recognition
CVPR2019 Oral

2. 1) what is a good score for open-set identification?
2) what is a good operating threshold for the model?
Open-set Recognition

3. C2AE

4. C2AE: Class Conditioned Auto-Encoder

5. C2AE: Class Conditioned Auto-Encoder
Optim:
Conditional Decoder Training

6. C2AE: Class Conditioned Auto-Encoder
Extreme Value Theory Modeling

7. C2AE: Class Conditioned Auto-Encoder

8. C2AE: Class Conditioned Auto-Encoder

9. Open-set Identification

10. Open-set Recognition