120 citations · 224 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 120 cited
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen, Sijie Zhu, Taojiannan Yang +5
Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before…
cs.CV2020★ 8 cited
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang +1
Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before…
cs.CV2020★ 96 cited
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen +4
Deep learning based methods, such as Convolution Neural Network (CNN), have demonstrated their efficiency in hyperspectral image (HSI) classification. These methods can automatical…