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Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
CBAM implementation on TensowFlow
A Tensorflow implementation of the paper arXiv:1604.03539
#The demo of Cycle-Shape-GAN using chainer
Implementation of our proposed algorithm in domain adaptation for image classification
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Translate images to unseen domains in the test time with few example images.
A state-of-the-art semi-supervised method for image recognition
If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR'19].
CV和NLP结合的任务,侧重于图像生成文字
Papers with code. Sorted by stars. Updated weekly.
Implementation of Pyramid Attention Networks for Semantic Segmentation.
SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation
semi-supervised and task driven data augmentation code to improve segmentation performance
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"
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.