BriefGPT.xyz
Jun, 2019
通过渐进式、选择性实例切换进行目标检测的数据增强
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
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Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo
TL;DR
该论文提出了一种新的对象检测数据增强方法,通过实例切换和类别平衡的策略,无需收集和注释大量数据集,并结合先进的检测器方法,在MS COCO基准测试中获得了比其他方法更好的性能。
Abstract
Collection of massive well-annotated samples is effective in improving
object detection
performance but is extremely laborious and costly. Instead of data collection and annotation, the recently proposed
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