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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"

50 / 2,109 papers shown
Title
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
75
30
0
25 Jun 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLOCL
88
77
0
22 Jun 2021
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning
  Approach
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach
Hyolim Kang
Jinwoo Kim
Kyungmin Kim
Taehyun Kim
Seon Joo Kim
41
18
0
22 Jun 2021
DocFormer: End-to-End Transformer for Document Understanding
DocFormer: End-to-End Transformer for Document Understanding
Srikar Appalaraju
Bhavan A. Jasani
Bhargava Urala Kota
Yusheng Xie
R. Manmatha
ViT
117
281
0
22 Jun 2021
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive
  Learning
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
Hao Tan
Jie Lei
Thomas Wolf
Joey Tianyi Zhou
118
66
0
21 Jun 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
110
146
0
21 Jun 2021
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset
  for Autonomous Driving
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Jianhua Han
Xiwen Liang
Hang Xu
Kai Chen
Lanqing Hong
...
Chao Ye
Wei Zhang
Zhenguo Li
Xi Liang
Chunjing Xu
65
79
0
21 Jun 2021
Practical Assessment of Generalization Performance Robustness for Deep
  Networks via Contrastive Examples
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
Xuanyu Wu
Xuhong Li
Haoyi Xiong
Xiao Zhang
Siyu Huang
Dejing Dou
30
1
0
20 Jun 2021
Global and Local Contrastive Self-Supervised Learning for Semantic
  Segmentation of HR Remote Sensing Images
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
Haifeng Li
Yi Li
Guo Zhang
Ruoyun Liu
Haozhe Huang
Qing Zhu
Chao Tao
SSL
76
119
0
20 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
89
186
0
19 Jun 2021
The Animal ID Problem: Continual Curation
The Animal ID Problem: Continual Curation
Charles V. Stewart
Jason Parham
Jason A. Holmberg
T. Berger-Wolf
67
8
0
18 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream
  Prototypical Contrasting
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Martine Toering
Ioannis Gatopoulos
M. Stol
Vincent Tao Hu
SSL
108
11
0
18 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
108
214
0
17 Jun 2021
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
Fanyi Xiao
Joseph Tighe
Davide Modolo
SSL
68
14
0
17 Jun 2021
Poisoning and Backdooring Contrastive Learning
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini
Andreas Terzis
68
166
0
17 Jun 2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Learning to Associate Every Segment for Video Panoptic Segmentation
Sanghyun Woo
Dahun Kim
Joon-Young Lee
In So Kweon
VOS
80
30
0
17 Jun 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its
  Applications
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Yun Cao
Jianxin Wu
SSL
84
27
0
17 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
88
15
0
17 Jun 2021
Long-Short Temporal Contrastive Learning of Video Transformers
Long-Short Temporal Contrastive Learning of Video Transformers
Jue Wang
Gedas Bertasius
Du Tran
Lorenzo Torresani
VLMViT
153
50
0
17 Jun 2021
Positional Contrastive Learning for Volumetric Medical Image
  Segmentation
Positional Contrastive Learning for Volumetric Medical Image Segmentation
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Haiyun Yuan
Meiping Huang
Zhuang Jian
Jingtong Hu
Yiyu Shi
110
91
0
16 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLLSSL
76
19
0
16 Jun 2021
Evolving Image Compositions for Feature Representation Learning
Evolving Image Compositions for Feature Representation Learning
Paola Cascante-Bonilla
Arshdeep Sekhon
Yanjun Qi
Vicente Ordonez
SSL
88
7
0
16 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
Arthur Gretton
SSL
97
84
0
15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
343
2,853
0
15 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLMAAML
107
230
0
14 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
131
86
0
13 Jun 2021
Atlas Based Representation and Metric Learning on Manifolds
Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
31
3
0
13 Jun 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu
Changchang Yin
Xian Wu
Shen Ge
Yuexian Zou
Ping Zhang
Yuexian Zou
Xu Sun
MedIm
132
153
0
13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
132
121
0
12 Jun 2021
Hybrid Generative-Contrastive Representation Learning
Hybrid Generative-Contrastive Representation Learning
Saehoon Kim
Sungwoong Kim
Juho Lee
SSL
68
11
0
11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
150
66
0
10 Jun 2021
Learning to See by Looking at Noise
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
108
92
0
10 Jun 2021
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via
  Equivariant Contrastive Learning
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning
Adrian Spurr
Aneesh Dahiya
Xi Wang
Xucong Zhang
Otmar Hilliges
SSL3DH
74
2
0
10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
96
168
0
10 Jun 2021
Multi-Dataset Benchmarks for Masked Identification using Contrastive
  Representation Learning
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne
Nuran Kasthuriaarachchi
Sanka Rasnayaka
CVBM
70
6
0
10 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation
  Enhancement
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li
Chenxi Liu
Alan Yuille
Bingbing Ni
Wenjun Zhang
Wen Gao
SSL
66
5
0
10 Jun 2021
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
Rui Wang
Zuxuan Wu
Zejia Weng
Jingjing Chen
Guo-Jun Qi
Yu-Gang Jiang
118
166
0
10 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
87
48
0
09 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic
  Segmentation
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
113
318
0
09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
96
83
0
08 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
79
118
0
08 Jun 2021
Contrastive Representation Learning for Hand Shape Estimation
Contrastive Representation Learning for Hand Shape Estimation
Christiane Zimmermann
Max Argus
Thomas Brox
3DHSSL
91
41
0
08 Jun 2021
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained
  Models
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
Chenfeng Xu
Shijia Yang
Tomer Galanti
Bichen Wu
Xiangyu Yue
Bohan Zhai
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
62
55
0
08 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
103
322
0
08 Jun 2021
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Bowen Shi
Xiaopeng Zhang
Haohang Xu
Wenrui Dai
Junni Zou
H. Xiong
Qi Tian
56
8
0
08 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph-MLP: Node Classification without Message Passing in Graph
Yang Hu
Haoxuan You
Zhecan Wang
Zhicheng Wang
Erjin Zhou
Yue Gao
123
114
0
08 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss
Yedid Hoshen
81
118
0
07 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSLCLL
91
62
0
07 Jun 2021
Generating Relevant and Coherent Dialogue Responses using Self-separated
  Conditional Variational AutoEncoders
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
Bin Sun
Shaoxiong Feng
Yiwei Li
Jiamou Liu
Kan Li
68
32
0
07 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
62
12
0
06 Jun 2021
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