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Resnet in Resnet: Generalizing Residual Architectures

About

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.

Sasha Targ, Diogo Almeida, Kevin Lyman• 2016

Related benchmarks

TaskDatasetResultRank
Image ClassificationCIFAR-100 (test)--
3518
Image ClassificationCIFAR-10 (test)--
3381
Sepsis ClassificationeICU 24h lead time
AUC69.4
13
Sepsis ClassificationeICU 12h lead time
AUC75.6
13
Sepsis ClassificationeICU 8h lead time
AUC76.7
13
Sepsis Early WarningMIMIC 24-hour window IV (test)
AUC65.3
13
Sepsis Early WarningMIMIC 12-hour window IV (test)
AUC76.3
13
Sepsis ClassificationeICU 4h lead time
AUC81.3
13
Sepsis Early WarningMIMIC 8-hour window IV (test)
AUC77.6
13
Sepsis Early WarningMIMIC 4-hour window IV (test)
AUC82.9
13
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Other info

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