Scalable Object Detection using Deep Neural Networks(泛读)
2014-10-03 16:43
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一.文献名字和作者
Scalable Object Detection using Deep Neural Networks， CVPR2014二.阅读时间
2014年10月3日三.文献的贡献点
文献主要提出了使用DNN用于物体检测，主要的贡献点有下面三个：1.将物体检测问题定义为一个多个边框的坐标的回归问题；
2.将边框检测器的训练作为神经网络训练的一部分；
3.对于边界检测的训练过程中，不考虑类别的信息。
感觉这篇文章主要还是在于介绍在ILSVRC2012上面取得好成绩的算法的过程，也就是将DNN用于大规模数据的物体检测中，想要具体实用还需要仔细阅读这篇文章。
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