Exploring the user guidance for more accurate building segmentation from high-resolution remote sensing images
Dinghao Yang(Peking University), Conghui He(Shanghai Artificial Intelligence Laboratory), Weijia Li(Sun Yat-sen University), Bin Wang(Beijing Academy of Artificial Intelligence)
International Journal of Applied Earth Observation and Geoinformation
December 18, 2023
Cited by 5
Related Papers
Low-rate Image Compression with Super-resolution Learning
|Unknown|2020|44
A Bi-Attention Adversarial Network for Prostate Cancer Segmentation
|IEEE Access|2019|25
Exploiting Manifold Feature Representation for Efficient Classification of 3D Point Clouds
|ACM Transactions on Multimedia Computing Communications and Applications|2022|24
PointCHD: A Point Cloud Benchmark for Congenital Heart Disease Classification and Segmentation
|IEEE Journal of Biomedical and Health Informatics|2024|19
PointManifold: Using Manifold Learning for Point Cloud Classification
|arXiv (Cornell University)|2020|7