There are 6 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
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
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.
Official repo for Medical Image Segmentation Review: The Success of U-Net
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++
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
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)
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
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
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
High resolution point clouds from mmWave radar
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Autonomous navigation for blind people
Segmentation for vertebra in MR images
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
Segmentation of ID Cards using Semantic Segmentation
Tensorflow implementation : U-net and FCN with global convolution
[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data