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Name: Wang Bomin
Type: User
Company: Fudan University
Bio: Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Location: Shanghai, China
Name: Wang Bomin
Type: User
Company: Fudan University
Bio: Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Location: Shanghai, China
Continual Learning papers list, curated by ContinualAI
Continual/Lifelong/Incremental Learning
A clean and simple data loading library for Continual Learning
A technical report on convolution arithmetic in the context of deep learning
An implement by Pytorch
Implementation of Convolutional LSTM in PyTorch.
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
Code for "A Cross-Season Correspondence Dataset for Robust Semantic Segmentation"
Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)
Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Benchmark for Lifelong learning research
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation,CVPR,ECCV,ICCV,MICCAI)
CVPR'17 GAN Tutorial
cvpr2019 papers
Training Quantized Neural Networks with a Full-precision Auxiliary Module
Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
src for cvrg page
Unsupervised Domain Adaptation Papers and Code
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
The source code of DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training
Repository for code from "Generating Synthetic Labeled Data from Existing Anatomical Models: An Example with Echocardiography Segmentation"
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.