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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Updated
Oct 18, 2022 - Python
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
Collections of self-supervised methods, based on cvpods.
Matching Guided Distillation (ECCV 2020)
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).
an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
Training MoCoV2 on the CIFAR10 Dataset
Supervised Contrastive Learning (SupContrast) based on MoCo-v2
Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K
PyTorch implementation of Momentum contrast in Frequency & Spatial Domain
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