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Isotonic Data Augmentation for Knowledge Distillation
However, we found critical order violations between hard labels and soft labels in augmented samples.
Image super-resolution reconstruction based on attention mechanism and feature fusion
Aiming at the problems that the convolutional neural networks neglect to capture the inherent attributes of natural images and extract features only in a single scale in the field of image super-resolution reconstruction, a network structure based on attention mechanism and multi-scale feature fusion is proposed.
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