simsiam-cifar10
Ne2Ne-Image-Denoising
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| simsiam-cifar10 | Ne2Ne-Image-Denoising | |
|---|---|---|
| 1 | 1 | |
| 38 | 27 | |
| - | - | |
| 0.0 | 3.0 | |
| over 2 years ago | 10 months ago | |
| Python | Python | |
| MIT License | - |
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simsiam-cifar10
Ne2Ne-Image-Denoising
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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
What are some alternatives?
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
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.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
EasyCV - An all-in-one toolkit for computer vision
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)