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Found 3 papers, 2 papers with code
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
Analysis of high-resolution satellite images has been an important research topic for traffic management, city planning, and road monitoring.
Feature Pyramid Network for Multi-Class Land Segmentation
Semantic segmentation is in-demand in satellite imagery processing.
TernausNetV2: Fully Convolutional Network for Instance Segmentation
The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural networks.
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