Momentum Contrast for Unsupervised Visual Representation Learning 一.Methods Previously Proposed 1. End-to-end Mechanisms 方法简介:对于每个mini-batch中的 image 进行增强,每一张图片经过增强处理都得到两张图片q 和 $ k_+ $, 这两张互为正样本.采用两个不同的 encoder 分别对 q和 dictionary中的keys(包含q对应的正样本 $ k_+…

论文题目:<Momentum Contrast for Unsupervised Visual Representation Learning> 论文作者: Kaiming He.Haoqi Fan. Yuxin Wu. Saining Xie. Ross Girshick 论文来源:arXiv 论文来源:https://github.com/facebookresearch/moco 1 主要思想 文章核心思想是使用基于 Contrastive learning 的方式自监督的训练一个图片表…

Momentum Contrast for Unsupervised Visual Representation Learning 一.Methods Previously Proposed 1. End-to-end Mechanisms 方法简介:对于每个mini-batch中的 image 进行增强,每一张图片经过增强处理都得到两张图片q 和 $ k_+ $, 这两张互为正样本.采用两个不同的 encoder 分别对 q和 dictionary中的keys(包含q对应的正样本 $ k_+…

Unsupervised Visual Representation Learning by Context Prediction Note here: it's a learning note on unsupervised learning model from Prof. Gupta's group. Link: http://120.52.73.9/www.cv-foundation.org/openaccess/content_iccv_2015/papers/Doersch_Unsu…

论文信息 Title:<Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning> Authors:Jiwoong Park.Minsik Lee.H. Chang.Kyuewang Lee.J. Choi Sources:2019 IEEE/CVF International Conference on Computer Vision (ICCV) Paper:Downlo…

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…

论文信息 论文标题:Towards Explanation for Unsupervised Graph-Level Representation Learning论文作者:Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang论文来源:2022, arXiv论文地址:download论文代码:download 1 Introduction 使用信息瓶颈的图级表示可解释性.…

Self-Supervised Representation Learning 2019-11-11 21:12:14  This blog is copied from: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html Self-Supervised Representation Learning Nov 10, 2019 by Lilian Weng representation-le…

Paper Information 论文标题:Contrastive Multi-View Representation Learning on Graphs论文作者:Kaveh Hassani .Amir Hosein Khasahmadi论文来源:2020, ICML论文地址:download论文代码:download Abstract 介绍了一种自监督的方法,通过对比图的结构视图来学习节点和图级别的表示.与视觉表示学习不同,对于图上的对比学习,将视图的数量增加到两个以上或对比多尺度编码并不…

UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS  ICLR 2016  摘要:近年来 CNN 在监督学习领域的巨大成功 和 无监督学习领域的无人问津形成了鲜明的对比,本文旨在链接上这两者之间的缺口.提出了一种 deep convolutional generative adversarial networks (DCGANs),that have certai…