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Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss
In this method, there is no need to preprocess the input samples and the computational burden of the algorithm is reduced.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Generation and frame characteristics of predefined evenly-distributed class centroids for pattern classification
Predefined evenly-distributed class centroids (PEDCC) can be widely used in models and algorithms of pattern classification, such as CNN classifiers, classification autoencoders, clustering, and semi-supervised learning, etc.
