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

Understand

Models trained for classification often assume that all testing classes are known while training.

• As a result, when presented with an unknown class during testing, such closed-set assumption forces the model to classify it as one of the known classes.
• However, in a real world scenario, classification models are likely to encounter such examples.
• Hence, identifying those examples as unknown becomes critical to model performance.