IEEE

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...
GitHub

Superpixel-based Graph Convolutional Network for Semantic Segmentation

@article{jungsuperpixel, title={Superpixel-based Graph Convolutional Network for Semantic Segmentation}, author={Jung, Hoin and Park, Seong Yeon and Yang, Su and Kim, Jin} } Thie repository is an ...
C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
IEEE

Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification

Abstract: Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already ...