Search Results for author:
Found 2 papers, 2 papers with code
ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images
In recent years, deep neural networks have made great achievement in improving accuracy of building extraction from remote sensing imagery.
A Miniaturized Semantic Segmentation Method for Remote Sensing Image
In order to save the memory, we propose a miniaturization method for neural network to reduce the parameter quantity existed in remote sensing (RS) image semantic segmentation model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
