笔记：论文笔记Weakly Supervised Deep Detection Networks
弱监督深度目标检测网络（2016） 摘要 提出一种弱监督的深度检测结构，使其在图像级别上运行，同时进行区域选择和分类。 在PASCAL-VOC数据上隐式学习优于其他弱监督检测系统的目标检测器。 该模型是一个简单的端到端架构，在图像级分类方面也优于标准的数据增强和微调技术。 缺陷：单图同类单个 一.介绍 本文提出了一种新的端到端的弱监督目标检测方法，称之为弱监督深度检测网络（WSDDN），如下图
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