4 papers
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements
Zhiyan Wang, Deyin Liu, Lin Yuanbo Wu +3
Semantic segmentation is a fundamental task in multimedia processing, which can be used for analyzing, understanding, editing contents of images and videos, among others. To accele…
A feature refinement module for light-weight semantic segmentation network
Zhiyan Wang, Xin Guo, Song Wang +2
Low computational complexity and high segmentation accuracy are both essential to the real-world semantic segmentation tasks. However, to speed up the model inference, most existin…
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning
Peixiao Zheng, Xin Guo, Lin Qi
Existing graph-network-based few-shot learning methods obtain similarity between nodes through a convolution neural network (CNN). However, the CNN is designed for image data with…
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks
Deyin Liu, Lin Wu, Xue Li
In this paper, we present an effective deep prediction framework based on robust recurrent neural networks (RNNs) to predict the likely therapeutic classes of medications a patient…