Controllable Image Super-Resolution by SOM based Data Augmentation and its Applications-Reference-Cited by-同舟云学术

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Controllable Image Super-Resolution by SOM based Data Augmentation and its Applications

Published:2022-11-29 Issue: Volume: Page:
ISSN:
Container-title:2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
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Author:

Nakao Kosuke¹,Nobuhara Hajime²

Affiliation:

1. Intelligent and Mechanical Interaction Systems University of Tsukuba 1-1-1 Tennoudai,Tsukuba,Ibaraki,Japan,305-8573

2. Information and Systems University of Tsukuba 1-1-1 Tennoudai,Faculty of Engineering,Tsukuba,Ibaraki,Japan,305-8573

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001867/10001868/10002156.pdf?arnumber=10002156

Reference10 articles.

1. Enhanced Deep Residual Networks for Single Image Super-Resolution

2. Learning a Deep Convolutional Network for Image Super-Resolution

3. Deep Residual Learning for Image Recognition;he;arXiv 1512 03385,2015

4. Superresolution for UAV Images via Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction

5. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation;International Journal of Computer Vision;2024-01-05

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