5 citations · 7 across the 2 of their papers we have counts for
4 papers
On Geometric Structure of Activation Spaces in Neural Networks
Yuting Jia, Haiwen Wang, Shuo Shao +3
In this paper, we investigate the geometric structure of activation spaces of fully connected layers in neural networks and then show applications of this study. We propose an effi…
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images
Tao Yu, Yu Qiao, Huan Long
A variety of deep neural networks have been applied in medical image segmentation and achieve good performance. Unlike natural images, medical images of the same imaging modality a…
Curvature-based Comparison of Two Neural Networks
Tao Yu, Huan Long, John E. Hopcroft
In this paper we show the similarities and differences of two deep neural networks by comparing the manifolds composed of activation vectors in each fully connected layer of them.…
The Local Dimension of Deep Manifold
Mengxiao Zhang, Wangquan Wu, Yanren Zhang +4
Based on our observation that there exists a dramatic drop for the singular values of the fully connected layers or a single feature map of the convolutional layer, and that the di…