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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
Templates for 3D Object Pose Estimation Revisited: Generalization to New
  Objects and Robustness to Occlusions
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
Van Nguyen Nguyen
Yinlin Hu
Yang Xiao
Mathieu Salzmann
Vincent Lepetit
3DV3DPC3DH
80
78
0
31 Mar 2022
Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang
Congpei Qiu
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
SSL
110
39
0
31 Mar 2022
Large-Scale Pre-training for Person Re-identification with Noisy Labels
Large-Scale Pre-training for Person Re-identification with Noisy Labels
Dengpan Fu
Dongdong Chen
Hao Yang
Jianmin Bao
Lu Yuan
Lei Zhang
Houqiang Li
Fang Wen
Dong Chen
NoLa
100
60
0
30 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
117
57
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
SSL
106
74
0
30 Mar 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
112
118
0
30 Mar 2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
97
26
0
30 Mar 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
108
40
0
29 Mar 2022
Self-Supervised Image Representation Learning with Geometric Set
  Consistency
Self-Supervised Image Representation Learning with Geometric Set Consistency
Nenglun Chen
Lei Chu
Hao Pan
Yan Lu
Wenping Wang
SSL
96
8
0
29 Mar 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition
Nested Collaborative Learning for Long-Tailed Visual Recognition
Jun Li
Zichang Tan
Jun Wan
Zhen Lei
Guodong Guo
111
89
0
29 Mar 2022
SIOD: Single Instance Annotated Per Category Per Image for Object
  Detection
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Hanjun Li
Xingjia Pan
Ke Yan
Fan Tang
Weihao Zheng
74
18
0
29 Mar 2022
Rethinking Semantic Segmentation: A Prototype View
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou
Wenguan Wang
E. Konukoglu
Luc Van Gool
SSeg
145
276
0
28 Mar 2022
Frame-wise Action Representations for Long Videos via Sequence
  Contrastive Learning
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Minghao Chen
Fangyun Wei
Chong Li
Deng Cai
AI4TS
105
35
0
28 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
67
43
0
28 Mar 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
85
60
0
27 Mar 2022
CaCo: Both Positive and Negative Samples are Directly Learnable via
  Cooperative-adversarial Contrastive Learning
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
Tianlin Li
Yuhang Huang
Dan Zeng
Guo-Jun Qi
SSL
54
19
0
27 Mar 2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised
  Correspondence Learning
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Liulei Li
Tianfei Zhou
Wenguan Wang
Lu Yang
Jian-Wei Li
Yi Yang
SSL
117
49
0
27 Mar 2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision
  Transformers
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
Yunjie Tian
Lingxi Xie
Jiemin Fang
Mengnan Shi
Junran Peng
Xiaopeng Zhang
Jianbin Jiao
Qi Tian
QiXiang Ye
83
20
0
27 Mar 2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters
DeepDPM: Deep Clustering With an Unknown Number of Clusters
M. Ronen
Shahaf E. Finder
Oren Freifeld
90
72
0
27 Mar 2022
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
Fida Mohammad Thoker
Hazel Doughty
Piyush Bagad
Cees G. M. Snoek
SSL
84
19
0
27 Mar 2022
Towards Discriminative Representation: Multi-view Trajectory Contrastive
  Learning for Online Multi-object Tracking
Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking
En Yu
Zhuoling Li
Shoudong Han
119
44
0
27 Mar 2022
On the Viability of Monocular Depth Pre-training for Semantic
  Segmentation
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
Dong Lao
Fengyu Yang
Daniel Wang
Hyoungseob Park
Samuel Lu
Alex Wong
Stefano Soatto
MDE
95
0
0
26 Mar 2022
Versatile Multi-Modal Pre-Training for Human-Centric Perception
Versatile Multi-Modal Pre-Training for Human-Centric Perception
Fangzhou Hong
Liang Pan
Zhongang Cai
Ziwei Liu
VLM
90
24
0
25 Mar 2022
Multimodal Pre-training Based on Graph Attention Network for Document
  Understanding
Multimodal Pre-training Based on Graph Attention Network for Document Understanding
Zhenrong Zhang
Jiefeng Ma
Jun Du
Licheng Wang
Jianshu Zhang
55
38
0
25 Mar 2022
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance
  Segmentation?
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Zhenyu Wang
Yali Li
Shengjin Wang
ISeg
83
30
0
25 Mar 2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound
  Source Localization in Visual Scenes
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Zengjie Song
Yuxi Wang
Junsong Fan
Tieniu Tan
Zhaoxiang Zhang
SSL
71
43
0
25 Mar 2022
Negative Selection by Clustering for Contrastive Learning in Human
  Activity Recognition
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
SSLHAI
70
33
0
23 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
64
4
0
23 Mar 2022
GradViT: Gradient Inversion of Vision Transformers
GradViT: Gradient Inversion of Vision Transformers
Ali Hatamizadeh
Hongxu Yin
H. Roth
Wenqi Li
Jan Kautz
Daguang Xu
Pavlo Molchanov
ViT
188
65
0
22 Mar 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSLVLM
113
35
0
22 Mar 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Yuntong Ye
C. Yu
Yi Chang
Lin Zhu
Xile Zhao
Luxin Yan
Yonghong Tian
SSL
83
52
0
22 Mar 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Zeming Li
Eric Lo
Jian Sun
Jiaya Jia
SSL
108
5
0
22 Mar 2022
A Contrastive Objective for Learning Disentangled Representations
A Contrastive Objective for Learning Disentangled Representations
Jonathan Kahana
Yedid Hoshen
SSL
67
13
0
21 Mar 2022
Dense Siamese Network for Dense Unsupervised Learning
Dense Siamese Network for Dense Unsupervised Learning
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
79
15
0
21 Mar 2022
Revisiting Domain Generalized Stereo Matching Networks from a Feature
  Consistency Perspective
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective
Jiawei Zhang
Xiang Wang
Xiao Bai
Chen Wang
Lei Huang
Yimin Chen
Lin Gu
Jun Zhou
Tatsuya Harada
Edwin R. Hancock
88
57
0
21 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
91
1
0
17 Mar 2022
DATA: Domain-Aware and Task-Aware Self-supervised Learning
DATA: Domain-Aware and Task-Aware Self-supervised Learning
Qing Chang
Junran Peng
Lingxi Xie
Jiajun Sun
Hao Yin
Qi Tian
Zhaoxiang Zhang
83
8
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
132
89
0
16 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLMSSLViT
107
7
0
16 Mar 2022
Weak Augmentation Guided Relational Self-Supervised Learning
Weak Augmentation Guided Relational Self-Supervised Learning
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
97
5
0
16 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection
  based on Clustering in the Embedding Space
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
Poulami Sinhamahapatra
Rajat Koner
Karsten Roscher
Stephan Günnemann
OODD
28
5
0
16 Mar 2022
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I
  Translation
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
Xueqi Hu
Xinyue Zhou
Qiusheng Huang
Zhengyi Shi
Li Sun
Qingli Li
65
82
0
16 Mar 2022
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for
  Face Restoration
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration
Yinhuai Wang
Yu Fei Hu
Jian Zhang
CVBM
78
22
0
16 Mar 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Mark Hamilton
Zhoutong Zhang
Bharath Hariharan
Noah Snavely
William T. Freeman
66
245
0
16 Mar 2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted
  Architectures in Self-Supervised Learning
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning
Sharath Girish
Debadeepta Dey
Neel Joshi
Vibhav Vineet
S. Shah
C. C. T. Mendes
Abhinav Shrivastava
Yale Song
SSL
75
2
0
15 Mar 2022
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
T. Klein
Moin Nabi
SSL
54
26
0
15 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjDVLM
110
19
0
15 Mar 2022
SISL:Self-Supervised Image Signature Learning for Splicing Detection and
  Localization
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization
Susmit Agrawal
Prabhat Kumar
Siddharth Seth
T. Parag
M. Singh
R. Venkatesh Babu
93
11
0
15 Mar 2022
InsCon:Instance Consistency Feature Representation via Self-Supervised
  Learning
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Jun-Teng Yang
Ke Zhang
Zhaolin Cui
Jinming Su
Junfeng Luo
Xiaolin K. Wei
ISegSSL
59
10
0
15 Mar 2022
Improving Event Representation via Simultaneous Weakly Supervised
  Contrastive Learning and Clustering
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
Jun Gao
Wei Wang
Changlong Yu
Huan Zhao
Wilfred Ng
Ruifeng Xu
SSLDRL
68
26
0
15 Mar 2022
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