BriefGPT.xyz
Apr, 2017
A-Fast-RCNN:通过对抗生成硬正例来进行目标检测
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
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Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta
TL;DR
本文提出了使用对抗网络生成带有遮挡和变形的示例来学习不变性的方法,该方法在VOC07和VOC2012目标检测挑战中取得了2.3%和2.6%的mAP提升。
Abstract
How do we learn an
object detector
that is invariant to
occlusions
and
deformations
? Our current solution is to use a data-driven strategy
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