Deep Residual Learning for Image Recognition

This paper introduced Residual Networks (ResNet), which solved the degradation problem in very deep networks through skip connections. ResNet enabled training of networks with 152 layers and achieved 3.57% error on ImageNet, winning the ILSVRC 2015 classification task.