8 citations · 13 across the 5 of their papers we have counts for
3 papers · 1 filter
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger +3
Optimization of Binarized Neural Networks (BNNs) currently relies on real-valued latent weights to accumulate small update steps. In this paper, we argue that these latent weights…
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…
Local Feature Descriptor Learning with Adaptive Siamese Network
Chong Huang, Qiong Liu, Yan-Ying Chen +2
Although the recent progress in the deep neural network has led to the development of learnable local feature descriptors, there is no explicit answer for estimation of the necessa…