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.
