René's URL Explorer Experiment


Title: GitHub - PaddlePaddle/PASSL: 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

Open Graph Title: GitHub - PaddlePaddle/PASSL: 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

X Title: GitHub - PaddlePaddle/PASSL: 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

Description: 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 - PaddlePaddle/PASSL

Open Graph Description: 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 - PaddlePaddle/PASSL

X Description: 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 - PaddlePaddle/PASSL

Opengraph URL: https://github.com/PaddlePaddle/PASSL

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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og:image:altPASSL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 - PaddlePaddle/PASSL
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PaddlePaddlehttps://www.paddlepaddle.org.cn/
SimCLRhttps://arxiv.org/abs/2002.05709
MoCo(v1)https://arxiv.org/abs/1911.05722
MoCo(v2)https://arxiv.org/abs/1911.05722
MoCo-BYOLhttps://patch-diff.githubusercontent.com/PaddlePaddle/PASSL/blob/main/docs/Train_MoCo-BYOL_model.md
BYOLhttps://arxiv.org/abs/2006.07733
BEiThttps://arxiv.org/abs/2106.08254
https://patch-diff.githubusercontent.com/PaddlePaddle/PASSL#implemented-models
downloadhttps://passl.bj.bcebos.com/models/moco_v1_r50_e200_ckpt.pdparams
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downloadhttps://passl.bj.bcebos.com/models/simclr_r50_ep100_ckpt.pdparams
Train SimCLRhttps://patch-diff.githubusercontent.com/PaddlePaddle/PASSL/blob/main/docs/Train_SimCLR_model.md
downloadhttps://passl.bj.bcebos.com/models/moco_v2_r50_e200_ckpt.pdparams
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downloadhttps://passl.bj.bcebos.com/models/mocobyol_r50_ep300_ckpt.pdparams
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downloadhttps://passl.bj.bcebos.com/models/pixpro_r50_ep100_no_instance_with_linear.pdparams
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downloadhttps://drive.google.com/file/d/1kaAm8-tlvB570kzI4fo9h4dwGQFf_4FE/view?usp=sharing
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Masked Feature Prediction for Self-Supervised Visual Pre-Traininghttps://arxiv.org/abs/2112.09133
Masked Autoencoders Are Scalable Vision Learnershttps://arxiv.org/abs/2111.06377
Corrupted Image Modeling for Self-Supervised Visual Pre-Traininghttps://arxiv.org/abs/2202.03382
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?https://arxiv.org/abs/2112.10740
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformershttps://arxiv.org/abs/2111.12710
SimMIM: A Simple Framework for Masked Image Modelinghttps://arxiv.org/abs/2111.09886
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Shell 9.6% https://patch-diff.githubusercontent.com/PaddlePaddle/PASSL/search?l=shell
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