Deep Residual Learning for Image Recognition (ResNet)

Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun submitted Deep Residual Learning for Image Recognition on December 10, 2015. The paper presents a residual learning framework that reformulates layers as learning residual functions with reference to layer inputs and reports experiments with residual networks up to 152 layers on ImageNet.