为了快速对 机器视觉中的对比学习有一个快速了解，或者后续复习，此处收录了 13篇经典论文、一些讲解地较好的博客和相应的Github代码，用不同颜色标记。
http://www.webhub123.com/#/home/detail?projectHashid=27736029&ownerUserid=27786724这13篇论文分别为
https://arxiv.org/pdf/1805.01978.pdf InstDisc Unsupervised Feature Learning via Non-Parametric Instance Discrimination 实例判别和memory bank做对比学习
https://arxiv.org/pdf/1807.03748.pdf CPC Representation Learning with Contrastive Predictive Coding 对比预测编码，图像语音文本强化学习全都能做
https://arxiv.org/pdf/1904.03436.pdf InvaSpread Unsupervised Embedding Learning via Invariant and Spreading Instance Feature 编码器的端到端对比学习
https://arxiv.org/pdf/1906.05849.pdf CMC Contrastive Multiview Coding 多视角下的对比学习
https://arxiv.org/pdf/1911.05722.pdf MoCov1 Momentum Contrast for Unsupervised Visual Representation Learning 无监督训练
https://arxiv.org/pdf/2002.05709.pdf SimCLRv1 A Simple Framework for Contrastive Learning of Visual Representations 简单的对比学习 (数据增强 + MLP head + 大batch训练久)
https://arxiv.org/pdf/2003.04297.pdf MoCov2 Improved Baselines with Momentum Contrastive Learning MoCov1 + improvements from SimCLRv1
https://arxiv.org/pdf/2006.10029.pdf SimCLRv2 Big Self-Supervised Models are Strong Semi-Supervised Learners 大的自监督预训练模型很适合做半监督学习
https://arxiv.org/pdf/2006.07733.pdf BYOL Bootstrap Your Own Latent A New Approach to Self-Supervised Learning 不需要负样本的对比学习
https://arxiv.org/pdf/2006.09882.pdf SWaV Unsupervised Learning of Visual Features by Contrasting Cluster Assignments 聚类对比学习
https://arxiv.org/pdf/2011.10566.pdf SimSiam Exploring Simple Siamese Representation Learning孪生表征学习
https://arxiv.org/pdf/2104.02057.pdf MoCov3 An Empirical Study of Training Self-Supervised Vision Transformers如何更稳定的自监督训练ViT
https://arxiv.org/pdf/2104.14294.pdf DINO Emerging Properties in Self-Supervised Vision Transformers
transformer加自监督在视觉也很香
论文以及简介整理自 李沐 深度学习经典 ，代码整理自 Github