Image Data Augmentation Method based on Style Transfer-Reference-Cited by-同舟云学术

Image Data Augmentation Method based on Style Transfer

Published:2022-07-29 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Pattern Recognition and Intelligent Systems
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Author:

Wei Yanyan¹,Li Chuwei¹,Li Hangyu¹,Zhang Zhilong¹

Affiliation:

1. National Key Laboratory of Science and Technology on ATR, College of Electronic Science and Technology, National University of Defense Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549179.3549180

Reference23 articles.

1. Geirhos R. , Rubisch P. , Michaelis C. , 2019 . ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness , 7th International Conference on Learning Representations, ICLR 2019. Geirhos R., Rubisch P., Michaelis C., 2019. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness, 7th International Conference on Learning Representations, ICLR 2019.

2. A Neural Algorithm of Artistic Style

3. Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

4. Perceptual Losses for Real-Time Style Transfer and Super-Resolution

5. Dumoulin V. , Shlens J. , Kudlur M. 2017 . A Learned Representation For Artistic Style , 5th International Conference on Learning Representations, ICLR 2017. Dumoulin V., Shlens J., Kudlur M. 2017. A Learned Representation For Artistic Style, 5th International Conference on Learning Representations, ICLR 2017.

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