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Found 2 papers, 1 papers with code
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping.
Ranked #12 on
Semantic Segmentation
on LoveDA
Adaptive Modularity Maximization via Edge Weighting Scheme
We also present a novel regression model which assigns weights to the edges of a graph according to their local topological features to enhance the accuracy of modularity maximization algorithms.
Social and Information Networks
