Mixup on first-convolution-layer feature maps via Siamese/triplet architecture outperforms input-image mixup for CNN generalization.
Dimensionality reduction by learning an invariant mapping,
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Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
Mixup on first-convolution-layer feature maps via Siamese/triplet architecture outperforms input-image mixup for CNN generalization.