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ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
code for the paper entitled "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution"
【IJCAI2022】Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Official implementation of Cold-Diffusion for different transformations in pytorch.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
2024-TMI-CoreDiff Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization-CoreDiff
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
Implementation of CoTNet in ResNet-50
Contextual Transformer Networks for Visual Recognition for Object Detection and Instance Segmentation
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Code examples in pyTorch and Tensorflow for CS230
2021-CVPR-Single underwater__image restoration by contrastive learning
Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.
Image restoration with neural networks but without learning.
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reductionin CT Images
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
2022-TPAMI-Learning Dual Memory Dictionaries for Blind Face Restoration
Official Pytorch implementation of "Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising" (MICCAI 2022)
Code of TPAMI 2022
Faster R-CNN
A large-scale dataset of both raw MRI measurements and clinical MRI images.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.