IEEE

BGC-Net: Bilateral Graph Convolutional Network for Weakly-supervised Semantic Segmentation of Large-scale Point Clouds

Abstract: Weakly-supervised point cloud semantic segmentation (WS-PCS) has attracted increasing attention due to the challenge of sparse annotations. A central problem is how to effectively extract ...
IEEE

Hyperspectral Image Classification Based on Multiscale Feature Search Graph Convolutional Network With Meta Pseudolabels

Abstract: In recent years, graph convolutional networks (GCNs) have been introduced for hyperspectral image (HSI) classification due to their ability to effectively process the inherent graph ...
C&EN

Prediction of the Association between Transfer RNA and Diseases: A Deep Learning Approach Combining Multi-View Graph Convolution and Attention Mechanisms

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
Frontiers

Multi-Conv attention network for skin lesion image segmentation

To address the trade-off between segmentation performance and model lightweighting in computer-aided skin lesion segmentation, this paper proposes a lightweight network architecture, Multi-Conv ...