Balanced Data Augmentation of Object Detection Via Boot-strapping | IEEE Conference Publication | IEEE Xplore

Balanced Data Augmentation of Object Detection Via Boot-strapping


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-strappi...Show More

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.
Date of Conference: 19-21 October 2022
Date Added to IEEE Xplore: 25 November 2022
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Conference Location: Jeju Island, Korea, Republic of

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