U-Net is an exceptional deep learning architecture that has gained immense popularity for its total game-changer performance in image segmentation tasks. Developed by Olaf Ronneberger, Philipp…
U-Net Architecture Explained - GeeksforGeeks
U-Net Architecture For Image Segmentation
Understanding Dynamic Deep Networks for Retinal Vessel Segmentation, by Sahana Adiga
The Reproduction of “Image-to-Image Translation with Conditional Adversarial Networks”, by Damian Voorhout
U-Net Explained Papers With Code
Remote Sensing, Free Full-Text
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
List: segmentation, Curated by hjj194
Semantic segmentation using an optical computer, by adh1s, Optalysys
Learning about Deep Learning: Neural Network Architectures and Generative Models
Deep Learning vs. Neural Networks
U-Net Image Segmentation in Keras - PyImageSearch
