论文笔记：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
论文笔记：Faster R-CNN 1.简介 PAMI上的一篇经典目标检测论文，提出了一个RPN网络替代之前Fast R-CNN的SS（选择性搜索）进行区域提案。同时，RPN与Fast R-CNN共享大部分卷积层，从而提高整个系统的运行速度。最后实现了当时最高的准确率：PASCAL VOC 2007 (73.2% mAP) and 2012 (70.4% mAP) 2. 方法 2.1 RPN（Re
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- 1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks论文笔记
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