solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Updated
Jul 15, 2024 - Python
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
OpenMMLab Pre-training Toolbox and Benchmark
Self-Supervised Learning in PyTorch
Review and Implement Paper of Self-supervised learning
A python library for self-supervised learning
Chrome Vision - Object detection and self-supervised classification (Bachelor project)
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
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
ssl method pretrain experiments and weights: mocov2 + fast-moco + regioncl + mixup + densecl
[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
An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative Mixing for Contrastive Learning.
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Implementation of the algorithm Contrastive Multiview Coding (CMC) combined with Momentum Contrast (MoCo) for self-supervised learning of images.
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
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