Speaker
Georgian-Cristian Chivu
(Universitatea "Lucian Blaga" din Sibiu)
Description
This study examines U-Net and GAN architectures for image segmentation, focusing on remote sensing applications. U-Net excelled in structural segmentation, while GANs proved superior in texture reconstruction. Their integration offers a powerful solution for precise and complex segmentation tasks.
Presenting author | Georgian-Cristian Chivu |
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Primary author
Georgian-Cristian Chivu
(Universitatea "Lucian Blaga" din Sibiu)