18 citations · 18 across the 2 of their papers we have counts for
4 papers
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Chunlei Liu, Wenrui Ding, Xin Xia +5
The rapidly decreasing computation and memory cost has recently driven the success of many applications in the field of deep learning. Practical applications of deep learning in re…
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu, Junhe Zhao, Xiaolong Jiang +4
Deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models. However, it is still a great cha…
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu, Ce Li, Baochang Zhang +4
The advancement of deep convolutional neural networks (DCNNs) has driven significant improvement in the accuracy of recognition systems for many computer vision tasks. However, the…
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Baochang Zhang, Jiaxin Gu, Chen Chen +4
Compression artifacts reduction (CAR) is a challenging problem in the field of remote sensing. Most recent deep learning based methods have demonstrated superior performance over t…