SRK-Augment: A self-replacement and discriminative region keeping augmentation scheme for better classification
Author:
Funder
Young Scientists Fund
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-022-11022-1.pdf
Reference51 articles.
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4. Song Y, Li Q, Feng D et al (2016) Texture image classification with discriminative neural networks. Comput Vis Media 2(4):367–377
5. Meng L, Xu J, Tan X et al (2021) MixSpeech: data augmentation for low-resource automatic speech recognition. In: ICASSP 2021-2021 IEEE International conference on acoustics, speech and signal processing (ICASSP). IEEE, 7008–7012
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