A Simple Framework for Contrastive Learning of Visual Representations

【A Simple Framework for Contrastive Learning of Visual Representations】的更多相关文章

论文解读（SimCLR）《A Simple Framework for Contrastive Learning of Visual Representations》

1 题目 <A Simple Framework for Contrastive Learning of Visual Representations> 作者: Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton 2 介绍本文主要介绍 SimCLR框架. 定义: SimCLR:一个简单的视觉表示对比学习框架,不仅比以前的工作更出色,而且也更简单,既不需要专门的架构,也不需要储存库. 性能: 在 $ImageNet$ 上大…

A Simple Framework for Contrastive Learning of Visual Representations

目录概主要内容流程 projection head g constractive loss augmentation other 代码 Chen T., Kornblith S., Norouzi M., Hinton G. A Simple Framework for Contrastive Learning of Visual Representations. arXiv: Learning, 2020. @article{chen2020a, title={A Simple Fram…

A Simple Framework for Contrastive Learning of Visual Representations 阅读笔记

Motivation 作者们构建了一种用于视觉表示的对比学习简单框架 SimCLR,它不仅优于此前的所有工作,也优于最新的对比自监督学习算法, 而且结构更加简单:这个结构既不需要专门的架构,也不需要特殊的存储库. · 由于采用了对比学习,这个框架可以作为很多视觉相关的任务的预训练模型,可以在少量标注样本的情况下,拿到比较好的结果. Discovery 在这篇论文中,研究者发现: · 多个数据增强方法组合对于对比预测任务产生有效表示非常重要. · …

【CV】ICCV2015_Unsupervised Learning of Visual Representations using Videos

Unsupervised Learning of Visual Representations using Videos Note here: it's a learning note on Prof. Gupta's novel work published on ICCV2015. It's really exciting to know how unsupervised learning method can contribute to learn visual representatio…

论文解读（PCL）《Prototypical Contrastive Learning of Unsupervised Representations》

论文标题:Prototypical Contrastive Learning of Unsupervised Representations 论文方向:图像领域,提出原型对比学习,效果远超MoCo和SimCLR 论文来源:ICLR2021 论文链接:https://arxiv.org/abs/2005.04966 论文代码:https://github.com/salesforce/PCL Part1 概述本文提出了一个将对比学习与聚类联系起来的无监督表示学习方法:Prototypical C…

【ML】ICML2015_Unsupervised Learning of Video Representations using LSTMs

Unsupervised Learning of Video Representations using LSTMs Note here: it's a learning notes on new LSTMs architecture used as an unsupervised learning way of video representations. (More unsupervised learning related topics, you can refer to: Learnin…

论文解读（SimGRACE）《SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation》

论文信息论文标题:SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation论文作者:Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li论文来源:2022, WWW论文地址:download 论文代码:download 1 Introduction 对比学习种数据增强存在的三个问题: First, the augmentati…

Deep Reinforcement Learning for Visual Object Tracking in Videos 论文笔记

Deep Reinforcement Learning for Visual Object Tracking in Videos 论文笔记 arXiv 摘要:本文提出了一种 DRL 算法进行单目标跟踪,算是单目标跟踪中比较早的应用强化学习算法的一个工作. 在基于深度学习的方法中,想学习一个较好的 robust spatial and temporal representation for continuous video data 是非常困难的. 尽管最近的 CNN based tracke…

论文解读（SUGRL）《Simple Unsupervised Graph Representation Learning》

Paper Information Title:Simple Unsupervised Graph Representation LearningAuthors: Yujie Mo.Liang Peng.Jie Xu, Xiaoshuang Shi.Xiaofeng ZhuSources:2022 AAAIPaper:downloadCode:download Abstract 作者提出了一种简单的无监督图表示学习方法来进行有效和高效的对比学习.具体而言,通过构造多重损失探索结构信息与邻域信息之…

论文解读（S^3-CL）《Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning》

论文信息论文标题:Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning论文作者: Kaize Ding .Yancheng Wang .Yingzhen Yang.…