为提高小尺度行人检测的准确性，提出一种基于改进 Faster r-CNN的目标检测方法。通过引入基于双线性插值的对齐池化层，避免感兴趣区域池化过程中两次量化操作导致的位置偏差，同时设计基于级联的多层
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为实现对自然场景下小尺度人脸的准确检测，提出一种改进的 Faster-RCNN模型。采用 Resnet-50提取卷积特征，对不同卷积层的特征图进行多尺度融合，同时将区域建议网络产生的锚框由最初的9个
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如何运行Faster RCNN的tensorflow代码
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With increasing systems speeds and faster logic families,interconnect characteristics have become
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We can help you:■ Increase test throughput with 3X faster measurement speed and 2X faster data
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The need for more powerful and faster systems gave birth tomultiprocessing and multi-tasking
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