Densely Connected Convolutional Networks

CVPR 2017
Pages: 2261 - 2269
Published: Jul 21, 2017
Abstract
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional Network (DenseNet), which connects each layer to every other layer in a feed-forward fashion. Whereas traditional convolutional networks with L layers...
Paper Details
Title
Densely Connected Convolutional Networks
Published Date
Jul 21, 2017
Journal
Pages
2261 - 2269
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