Recently, fully convolutional networks (FCNs) have made great progress in the task of salient object detection and existing state-of-the-arts methods mainly focus on how to integrate edge information ...

Graph convolutional network (GCN) has gained widespread attention in semisupervised classification tasks. Recent studies show that GCN-based methods have achieved decent performance in numerous fields ...

3.5 Co-expression network analysis associated with flavonoid biosynthesis under salt stress A heatmap illustrating the module–trait relationship was generated using 10224 DEGs and 20 types of ...

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting, ICPR 2020. [paper] [code] Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision, WACV ...