Resizemix: Mixing data with preserved object information and true labels | |
Jie Qin3,5; Jiemin Fang1,4; Qian Zhang2; Wenyu Liu4; Xingang Wang5; Xinggang Wang4 | |
刊名 | Computational Visual Media |
2023 | |
页码 | -- |
英文摘要 | Data augmentation is a powerful technique to increase the diversity of data, which can effectively improve the generalization ability of neural networks in image recognition tasks. Recent mixing-based data augmentations have achieved great success by randomly cropping a patch from one image and pasting it on another. And some works explore to use of the saliency information of the image to guide the mixing. We systematically study the importance of the saliency information for mixing data, and find that the saliency information is not necessary for promoting the augmentation performance. Furthermore, the mixing-based data mixing methods carry two problems of object information missing and label misallocation. We propose an effective and very easily implemented method, namely ResizeMix, which can mix data with preserved object information and true labels. We mix the data by directly resizing the source image to a small patch and paste it on another image. The obtained patch preserves more substantial object information compared with conventional cutting-based methods. ResizeMix achieves superior performance on both image classification and object detection tasks without additional computation cost. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/57172] |
专题 | 精密感知与控制研究中心_精密感知与控制 |
作者单位 | 1.Institute of Artificial Intelligence, Huazhong University of Science and Technology 2.Horizon Robotics 3.School of Artificial Intelligence, University of Chinese Academy of Sciences 4.School of Electronic Information and Communications, Huazhong University of Science and Technology 5.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Jie Qin,Jiemin Fang,Qian Zhang,et al. Resizemix: Mixing data with preserved object information and true labels[J]. Computational Visual Media,2023:--. |
APA | Jie Qin,Jiemin Fang,Qian Zhang,Wenyu Liu,Xingang Wang,&Xinggang Wang.(2023).Resizemix: Mixing data with preserved object information and true labels.Computational Visual Media,--. |
MLA | Jie Qin,et al."Resizemix: Mixing data with preserved object information and true labels".Computational Visual Media (2023):--. |
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