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Apr, 2014
DenseNet: 实现高效卷积神经网络描述符金字塔
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
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Forrest Iandola, Matt Moskewicz, Sergey Karayev, Ross Girshick, Trevor Darrell...
TL;DR
本文介绍了一种基于卷积神经网络的对象分类器的DenseNet系统,它能够计算密集的多尺度特征,用于训练高效的对象检测器。
Abstract
convolutional neural networks
(CNNs) can provide accurate object classification. They can be extended to perform
object detection
by iterating over dense or selected proposed object regions. However, the runtime
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