Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

2 Jun 2019Hao WangQilong WangFan YangWeiqi ZhangWangmeng Zuo

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 Cut-Paste methods [12, 15] show the potential to augment training dataset by cutting foreground objects and pasting them on proper new backgrounds... (read more)

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