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Improved Baselines with Momentum Contrastive Learning

Improved Baselines with Momentum Contrastive Learning

9 March 2020
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Improved Baselines with Momentum Contrastive Learning"

9 / 2,109 papers shown
Title
Weakly Supervised Representation Learning with Coarse Labels
Weakly Supervised Representation Learning with Coarse Labels
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
Juhua Hu
SSL
51
8
0
19 May 2020
CERT: Contrastive Self-supervised Learning for Language Understanding
CERT: Contrastive Self-supervised Learning for Language Understanding
Hongchao Fang
Sicheng Wang
Meng Zhou
Jiayuan Ding
P. Xie
ELMSSL
76
345
0
16 May 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
161
56
0
14 Apr 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
368
673
0
23 Mar 2020
Watching the World Go By: Representation Learning from Unlabeled Videos
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon
Kiana Ehsani
Dieter Fox
Ali Farhadi
SSLAI4TS
98
90
0
18 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation
  Learning
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCLSSL
89
103
0
11 Mar 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSLVLM
98
165
0
20 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
272
12,164
0
13 Nov 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
  Classification with the 1-Laplacian Graph Energy
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
Angelica I. Aviles-Rivero
Nicolas Papadakis
Ruoteng Li
P. Sellars
Samar M. Alsaleh
R. Tan
Carola-Bibiane Schönlieb
71
3
0
20 Jun 2019
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