1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
SACANet: scene-aware class attention network for semantic segmentation of remote sensing images
Xiaowen Ma, Rui Che, Tingfeng Hong +4
Spatial attention mechanism has been widely used in semantic segmentation of remote sensing images given its capability to model long-range dependencies. Many methods adopting spat…
cs.CV2023
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images
Xiaowen Ma, Jiawei Yang, Tingfeng Hong +4
As an important task in remote sensing image analysis, remote sensing change detection (RSCD) aims to identify changes of interest in a region from spatially co-registered multi-te…
cs.CV2023★ 1 cited
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images
Xiaowen Ma, Mengting Ma, Chenlu Hu +4
Remote sensing images are known of having complex backgrounds, high intra-class variance and large variation of scales, which bring challenge to semantic segmentation. We present L…