97 citations · 240 across the 13 of their papers we have counts for
4 papers · 1 filter
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
Zhiwei Wang, Yi Lin, Kwang-Ting Cheng +1
In this paper, we address the problem of synthesizing multi-parameter magnetic resonance imaging (mp-MRI) data, i.e. Apparent Diffusion Coefficients (ADC) and T2-weighted (T2w), co…
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture
Shichao Li, Xin Yang, Tim Cheng
We propose Deep Hierarchical Machine (DHM), a model inspired from the divide-and-conquer strategy while emphasizing representation learning ability and flexibility. A stochastic ro…
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Zechun Liu, Wenhan Luo, Baoyuan Wu +3
In this paper, we study 1-bit convolutional neural networks (CNNs), of which both the weights and activations are binary. While efficient, the lacking of representational capabilit…
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu, Baoyuan Wu, Wenhan Luo +3
In this work, we study the 1-bit convolutional neural networks (CNNs), of which both the weights and activations are binary. While being efficient, the classification accuracy of t…