Confidence Calibration with an Auxiliary Class)

What is CCAC? If you're not familiar with Confidence Calibration with an Auxiliary Class, or CCAC for short, it is a post-hoc calibration method for Deep Neural Network (DNN) classifiers on Out-of-Distribution (OOD) datasets. In simpler terms, it is a technique that helps to improve the accuracy of artificial intelligence (AI) systems. How does CCAC work? One of the key features of CCAC is the use of an auxiliary class in the calibration model. The auxiliary class helps to separate mis-class