317 citations · 1.2k across the 45 of their papers we have counts for
5 papers · 1 filter
Binary Change Guided Hyperspectral Multiclass Change Detection
Meiqi Hu, Chen Wu, Bo Du +1
Characterized by tremendous spectral information, hyperspectral image is able to detect subtle changes and discriminate various change classes for change detection. The recent rese…
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu, Fengxiang He, Bo Du +2
Deep neural networks (DNNs) have greatly contributed to the performance gains in semantic segmentation. Nevertheless, training DNNs generally requires large amounts of pixel-level…
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
Di Wang, Bo Du, Liangpei Zhang
Convolutional neural networks have been widely applied to hyperspectral image classification. However, traditional convolutions can not effectively extract features for objects wit…
Robust Self-Ensembling Network for Hyperspectral Image Classification
Yonghao Xu, Bo Du, Liangpei Zhang
Recent research has shown the great potential of deep learning algorithms in the hyperspectral image (HSI) classification task. Nevertheless, training these models usually requires…
LocalDrop: A Hybrid Regularization for Deep Neural Networks
Ziqing Lu, Chang Xu, Bo Du +3
In neural networks, developing regularization algorithms to settle overfitting is one of the major study areas. We propose a new approach for the regularization of neural networks…