DropMask: A data augmentation method for convolutional networks-Reference-Cited by-同舟云学术

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DropMask: A data augmentation method for convolutional networks

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Gong Diancheng¹,Wang Zhiling²,Wang Hanqi¹,Liang Huawei²

Affiliation:

1. Hefei Institutes of Physical Science, Chinese Academy of Sciences,Hefei,China,230031

2. University of Science and Technology of China,Hefei,China,230026

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929974.pdf?arnumber=9929974

Reference26 articles.

1. Dropblock: A regularization method for convolutional networks;ghiasi;Advances in neural information processing systems,2018

2. Regularization of neural networks using dropconnect;wan;Int Conference on Machine Learning,0

3. Advances in set pair analysis theory and its applications;jiang;Computer Science,2006

4. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Int Conference on Machine Learning,0

5. Inception-ResNet and the Impact of Residual Connections on Learning;christian;AAAI Conference on Artificial Intelligence,0

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