U-Net: A Versatile Deep Learning Architecture for Image Segmentation, by Alexquesada

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…

AlexNet Convolutional Neural Network architecture. Figure

An overview of Unet architectures for semantic segmentation and

Self-Supervised Scene De-occlusion, by Jae Duk Seo

Entropy, Free Full-Text

Entropy, Free Full-Text

U-Net Explained: Understanding its Image Segmentation Architecture

An overview of Unet architectures for semantic segmentation and

Deep Learning for Image Segmentation: U-Net Architecture - Comet

Entropy, Free Full-Text

New deep learning model brings image segmentation to edge devices

Self-Supervised Scene De-occlusion, by Jae Duk Seo