Ne2Ne-Image-Denoising
simsiam-cifar10
Our great sponsors
| Ne2Ne-Image-Denoising | simsiam-cifar10 | |
|---|---|---|
| 1 | 1 | |
| 27 | 38 | |
| - | - | |
| 3.0 | 0.0 | |
| 10 months ago | over 2 years ago | |
| Python | Python | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Ne2Ne-Image-Denoising
-
Neighbour2Neighbour: The new self-supervised Image Denoising training
It gives outstanding denoising performance with just 300 training images. Have a look at these image results and minimal network implementation here: https://github.com/neeraj3029/Ne2Ne-Image-Denoising
simsiam-cifar10
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
lightly - A python library for self-supervised learning on images.
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
EasyCV - An all-in-one toolkit for computer vision