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Code for "A general image fusion framework using multi-task semi-supervised learning"
Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
Light-weight self attention block to replace Conv, FC, and Multihead self attention
List of datasets, codes, and contests related to remote sensing change detection
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
This code allows to reproduce the results of Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation https://arxiv.org/abs/1710.05705
[arXiv 2024] Bracketing is All You Need: Unifying Image Restoration and Enhancement Tasks with Multi-Exposure Images
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
Unofficial implementation of CARAFE: Content-Aware ReAssembly of FEatures. Pure pytorch imp
[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)
Compact Generalized Non-local Network (NIPS 2018)
Addressing Failure Prediction by Learning Model Confidence
Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
An implement of contextual loss using PyTorch.
The Contextual Loss
The Singular Values of Convolutional Layers
Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
Toward Stable, Interpretable, and Lightweight Hyperspectral Super-resolution (based on EM-algorithm and Dagradation Adaption)
Code for "DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets", accepted at Neurips 2023 (Main conference).
This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
Dual Attention Network for Scene Segmentation (CVPR2019)
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.