Search Results for author:
Found 1 papers, 0 papers with code
HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection
To deal with this imbalance, we propose an equilibrium optimization loss function to regulate the optimization focus of the foreground and background, determine the hard case samples through the distribution of the loss values, and introduce dynamic weights in the loss term to gradually shift the optimization focus of the loss from the foreground to the background hard cases as the training progresses.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
