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Apr, 2016
使用在线困难样本挖掘训练基于区域的物体探测器
Training Region-based Object Detectors with Online Hard Example Mining
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Abhinav Shrivastava, Abhinav Gupta, Ross Girshick
TL;DR
本研究提出了一种称为OHEM的在线硬负样本挖掘算法,可以提高目标检测中基于区域卷积神经网络的检测器的性能,尤其是在难度较大且数据规模较大的数据集上表现出色
Abstract
The field of
object detection
has made significant advances riding on the wave of region-based
convnets
, but their training procedure still includes many heuristics and hyperparameters that are costly to tune. We
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