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The Ethereal
Resnet in Resnet: Generalizing Residual Architectures
March 25, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Sasha Targ, Diogo Almeida, Kevin Lyman
arXiv ID
1603.08029
Category
cs.LG: Machine Learning
Cross-listed
cs.CV,
cs.NE,
stat.ML
Citations
1.0K
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Residual networks (ResNets) have recently achieved state-of-the-art on challenging computer vision tasks. We introduce Resnet in Resnet (RiR): a deep dual-stream architecture that generalizes ResNets and standard CNNs and is easily implemented with no computational overhead. RiR consistently improves performance over ResNets, outperforms architectures with similar amounts of augmentation on CIFAR-10, and establishes a new state-of-the-art on CIFAR-100.
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