Search Results for author:
Found 2 papers, 1 papers with code
A Comparative Study of Knowledge Transfer Methods for Misaligned Urban Building Labels
The workflow first identifies the best (with the highest evaluation scores) hyperparameters, lightweight CNNs for the Student (among 43 CNNs from Computer Vision), and encoder-decoder networks (EDNs) for both Teachers and Students.
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildings
The results conclude that selectively densifying feature maps and skip connections enhances network performance without a substantial increase in parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
