15 citations · 25 across the 11 of their papers we have counts for
4 papers · 1 filter
DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection
Chengming Wang, Peng Duan, Jinjiang Li
Change detection (CD) has extensive applications and is a crucial method for identifying and localizing target changes. In recent years, various CD methods represented by convoluti…
MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
Chengming Wang, Guodong Fan, Jinjiang Li +2
With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional…
CGCCE-Net:Change-Guided Cross Correlation Enhancement Network for Remote Sensing Building Change Detection
ChengMing Wang
Change detection encompasses a variety of task types, and the goal of building change detection (BCD) tasks is to accurately locate buildings and distinguish changed building areas…
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
Zhaojin Fu, Zheng Chen, Jinjiang Li +1
Deep learning has made important contributions to the development of medical image segmentation. Convolutional neural networks, as a crucial branch, have attracted strong attention…