Exploit All the Layers: Fast and Accurate CNN Object Detector with SDP and CRC
核心： 在Fast-RCNN的基础上，设计了两种改进方法： 一是尺度相关的池化SDP用于提升小尺寸物体检测； 二是逐层级联拒绝分类器CRC用于提速。 利用卷积网络的每一层的特征来拒绝负的Proposals； 对没有被拒绝的proposals使用SDP进行评估； Scale-Dependent Pooling 该方法是基于Fast-RCNN的，SDP根据每个proposal的尺寸，从对应的卷积层特
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相关文章
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