BAPE explicitly estimates a Bayes classifier by fitting von Mises-Fisher distributions per class with point estimation, improving long-tailed recognition accuracy.
A systematic study of the class imbalance problem in convolutional neural networks
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BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
BAPE explicitly estimates a Bayes classifier by fitting von Mises-Fisher distributions per class with point estimation, improving long-tailed recognition accuracy.