Image Data Augmentation Method for Random Channel Perturbation
The simulation of object occlusion strategies in data augmentation sets all the pixels in the randomly cropped region of the input image to zero, which erases the effective texture features and leads to poor network generalization. Therefore, this paper proposes a novel data augmentation method know...
| 出版年: | Jisuanji kexue yu tansuo |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | 中国語 |
| 出版事項: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-11-01
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| 主題: | |
| オンライン･アクセス: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2311022.pdf |