With parameter-free option-A shortcuts, increasing depth from 18 to 34 layers reverses the plain-network degradation: ResNet-34 has lower training and validation error than ResNet-18, while matched ResNet-34 substantially outperforms plain-34. ResNet-18 and plain-18 have comparable final accuracy, though ResNet-18 converges faster early in training.

With parameter-free option-A shortcuts, increasing depth from 18 to 34 layers reverses the plain-network degradation: ResNet-34 has lower training and validation error than ResNet-18, while matched ResNet-34 substantially outperforms plain-34. ResNet-18 and plain-18 have comparable final accuracy, though ResNet-18 converges faster early in training. · CiteArk

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