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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
Cluster Contrast for Unsupervised Person Re-Identification
Cluster Contrast for Unsupervised Person Re-Identification
Zuozhuo Dai
Guangyuan Wang
Weihao Yuan
Xiaoli Liu
Siyu Zhu
P. Tan
110
215
0
22 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and
  Semi-Supervised Learning
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
Ragav Sachdeva
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
102
34
0
21 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain
  Randomization
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OODSSL
52
3
0
20 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification Network
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
66
29
0
19 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
76
166
0
19 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual
  Representation Learning
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
SSL
68
6
0
19 Mar 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
Chong Chen
ObjD
95
51
0
18 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
93
65
0
17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
47
17
0
15 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
125
446
0
14 Mar 2021
Duplex Contextual Relation Network for Polyp Segmentation
Duplex Contextual Relation Network for Polyp Segmentation
Zijin Yin
Kongming Liang
Zhanyu Ma
Jun Guo
EgoVMedIm
72
79
0
11 Mar 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio
  Representation
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
Noboru Harada
K. Kashino
SSL
102
179
0
11 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation Learning
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
67
90
0
10 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
124
378
0
10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
66
16
0
08 Mar 2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Hongwei Bran Li
Fei-Fei Xue
K. Chaitanya
Shengda Liu
Ivan Ezhov
Benedikt Wiestler
Jianguo Zhang
Bjoern Menze
SSL
90
25
0
06 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray
  Classification
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu
Yu Tian
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
75
44
0
05 Mar 2021
Extending Contrastive Learning to Unsupervised Coreset Selection
Extending Contrastive Learning to Unsupervised Coreset Selection
Jeongwoo Ju
Heechul Jung
Yoonju Oh
Junmo Kim
SSL
44
12
0
05 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
360
2,374
0
04 Mar 2021
Deep Clustering by Semantic Contrastive Learning
Deep Clustering by Semantic Contrastive Learning
Jiabo Huang
S. Gong
94
15
0
03 Mar 2021
Using contrastive learning to improve the performance of steganalysis
  schemes
Using contrastive learning to improve the performance of steganalysis schemes
Yanzhen Ren
Yiwen Liu
Lina Wang
49
1
0
01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
78
6
0
01 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity
  Learning
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton
Scott M. Lundberg
Lei Zhang
Stephanie Fu
William T. Freeman
FAtt
87
10
0
28 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,053
0
26 Feb 2021
Maximizing Cosine Similarity Between Spatial Features for Unsupervised
  Domain Adaptation in Semantic Segmentation
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
Inseop Chung
Daesik Kim
Nojun Kwak
77
15
0
25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
159
79
0
25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You
Yong Liu
Jianmin Wang
Mingsheng Long
99
188
0
22 Feb 2021
MedAug: Contrastive learning leveraging patient metadata improves
  representations for chest X-ray interpretation
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
100
85
0
21 Feb 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
A. Spahr
Behzad Bozorgtabar
Jean-Philippe Thiran
74
16
0
19 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCVSSLMQ
303
22
0
17 Feb 2021
Dissecting Supervised Contrastive Learning
Dissecting Supervised Contrastive Learning
Florian Graf
Christoph Hofer
Marc Niethammer
Roland Kwitt
SSL
164
77
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
172
149
0
16 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
68
13
0
15 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
132
46
0
13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
260
286
0
12 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
129
64
0
12 Feb 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive
  Learning
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
J. Ó. Neill
Danushka Bollegala
62
6
0
12 Feb 2021
Self-Supervised Multisensor Change Detection
Self-Supervised Multisensor Change Detection
Sudipan Saha
Patrick Ebel
Xiaoxiang Zhu
SSL
71
80
0
12 Feb 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual
  Representation Learning
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
67
3
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
101
325
0
09 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
187
1,772
0
05 Feb 2021
Designing an Encoder for StyleGAN Image Manipulation
Designing an Encoder for StyleGAN Image Manipulation
Omer Tov
Yuval Alaluf
Yotam Nitzan
Or Patashnik
Daniel Cohen-Or
312
793
0
04 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
198
483
0
28 Jan 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
151
18
0
28 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
39
5
0
24 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
101
25
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
131
120
0
21 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
74
8
0
19 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
113
16
0
19 Jan 2021
A Multi-Stage Attentive Transfer Learning Framework for Improving
  COVID-19 Diagnosis
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis
Yi Liu
Shuiwang Ji
55
5
0
14 Jan 2021
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