Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K
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Updated
Jun 24, 2022 - Jupyter Notebook
Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K
Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
Supervised Contrastive Learning (SupContrast) based on MoCo-v2
PyTorch implementation of Momentum contrast in Frequency & Spatial Domain (MocoFSD) for fine-grained image classification.
Training MoCoV2 on the CIFAR10 Dataset
TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Baselines with Momentum Contrastive Learning, 2020).
Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
Self-Supervised Learning in PyTorch
Collections of self-supervised methods, based on cvpods.
Matching Guided Distillation (ECCV 2020)
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
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