OpenMMLab Self-Supervised Learning Toolbox and Benchmark
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Updated
Mar 10, 2022 - Python
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OpenMMLab Self-Supervised Learning Toolbox and Benchmark
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,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
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
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).
Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.
MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297
Training MoCoV2 on the CIFAR10 Dataset
an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
Arquillian integration for Moco, https://github.com/dreamhead/moco
Implementation of the algorithm Contrastive Multiview Coding (CMC) combined with Momentum Contrast (MoCo) for self-supervised learning of images.
Money Converter on the CLI
Contrastive Visual Representation Learning, Course Project for ECE-GY 9123 Deep Learning Spring 2021
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