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Balanced Data Augmentation of Object Detection Via Boot-strapping
- Authors
- Cho, S.; Paeng, J.; Kwon, Junseok
- Issue Date
- Oct-2022
- Publisher
- IEEE Computer Society
- Keywords
- Boot-strapping; Data augmentation; Detection
- Citation
- International Conference on ICT Convergence, v.2022-October, pp 1088 - 1090
- Pages
- 3
- Journal Title
- International Conference on ICT Convergence
- Volume
- 2022-October
- Start Page
- 1088
- End Page
- 1090
- ISSN
- 2162-1233
- Abstract
- In this paper, we propose the balanced data augmentation method for object detection via boot-strapping. We demonstrate that the proposed method is a kind of boot-strapping algorithms for object detection and improves the performance of object detection in the VOC dataset. Our method not only makes data balance but also improves the detection accuracy. © 2022 IEEE.
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