There are 5 repositories under u-net topic.
《深度学习与计算机视觉》配套代码
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Real-Time Semantic Segmentation in Mobile device
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
Winning solution for the Kaggle TGS Salt Identification Challenge.
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Python library for designing and training your own Diffusion Models with PyTorch.
Implementation of a U-net complete with efficient attention as well as the latest research findings
Deep Learning sample programs using PyTorch in C++
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)
Official repo for Medical Image Segmentation Review: The success of U-Net
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
A Pytorch implementation of Stylegan2 with UNet Discriminator
A deep learning based approach for brain tumor MRI segmentation.
RObust document image BINarization
Dstl Satellite Imagery Feature Detection
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
Segmentation of ID Cards using Semantic Segmentation
Tensorflow implementation : U-net and FCN with global convolution
Autonomous navigation for blind people
Segmentation for vertebra in MR images
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
CNNs for semantic segmentation using Keras library