Densely Connected Convolutional Networks
Work
Year: 2017
Type: preprint
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 clo... more
Institutions Cornell University, Tsinghua University, Meta (Israel)
Cites: 54
Cited by: 37,830
Related to: 10
Citation percentile (by year/subfield): 99.97
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: green