Introduction - If you have any usage issues, please Google them yourself
This article is the oral of CVPR2017, very powerful. This paper DenseNet (Dense Convolutional Network) mainly and ResNet and Inception Network do contrast, reference ideas, but he is a new structure, Network structure is not complicated, but very effective! As is known to all, in the last year or two, the direction of improving the effect of convolutional neural network is either deep (such as ResNet, which solves the gradient disappearance problem in deep network) or wide (such as GoogleNet's Inception), while the author starts from feature and achieves better effect and fewer parameters through the extreme utilization of feature