Misclassification-guided loss under the weighted cross-entropy loss framework

As deep neural networks for visual recognition gain momentum, many studies have modified the loss function to improve the classification performance on long-tailed data. Typical and effective improvement strategies are to assign different weights to different classes or samples, yielding a series of...

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