whrws's repositories
Awesome-Contrastive-Learning
Awesome Contrastive Learning
Awesome-Denoise
All latest image/burst/video Denoising papers with code & citation published in top conference and journal.
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
awesome-image-translation
A collection of awesome resources image-to-image translation.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BeDDE-for-defogging
BeDDE is a real-world benchmark dataset to evaluate dehazing methods.
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
DA_dahazing
Domain Adaptation for Image Dehazing, CVPR2020
google-research
Google Research
IrwGAN
Official pytorch implementation of the IrwGAN for unaligned image-to-image translation
LIR-for-Unsupervised-IR
This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
pytorch-beginner
pytorch tutorial for beginners
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
RefineDNet-for-dehazing
The pytorch implementation of RefineDNet (Refinement Dehazing Network).