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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
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
99
20
0
22 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
107
3
0
20 Jul 2023
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li
Jie Wu
Xionghui Wang
Chen Chen
Jie Qin
Xu Xiao
Rui Wang
Min Zheng
Xin Pan
ObjDVLM
90
18
0
20 Jul 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time
  Series
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu
P. Chandak
Ridwan Alam
John Guttag
Collin M. Stultz
AI4TS
75
13
0
20 Jul 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging
  Analysis
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan
Yi Fang
82
4
0
20 Jul 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised
  Learning
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
Borja Rodríguez Gálvez
Arno Blaas
P. Rodríguez
Adam Goliñski
Xavier Suau
Jason Ramapuram
Dan Busbridge
Luca Zappella
106
7
0
20 Jul 2023
SLPD: Slide-level Prototypical Distillation for WSIs
SLPD: Slide-level Prototypical Distillation for WSIs
Zhimiao Yu
Tiancheng Lin
Yi Xu
83
7
0
20 Jul 2023
Identifying Interpretable Subspaces in Image Representations
Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat
S. Bhardwaj
Bayan Bruss
Hamed Firooz
Maziar Sanjabi
Soheil Feizi
FAtt
106
28
0
20 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSLViT
71
3
0
18 Jul 2023
LA-Net: Landmark-Aware Learning for Reliable Facial Expression
  Recognition under Label Noise
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
Zhi-Fan Wu
J. Cui
76
19
0
18 Jul 2023
Systematic comparison of semi-supervised and self-supervised learning
  for medical image classification
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
Zhe Huang
Ruijie Jiang
Shuchin Aeron
M. C. Hughes
SSLOOD
107
7
0
18 Jul 2023
Diffusion Models Beat GANs on Image Classification
Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay
M. Gwilliam
Vatsal Agarwal
Namitha Padmanabhan
A. Swaminathan
Srinidhi Hegde
Dinesh Manocha
Abhinav Shrivastava
DiffM
163
48
1
17 Jul 2023
CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
A. Baykal
Abdul Basit Annes
Duygu Ceylan
Erkut Erdem
Aykut Erdem
D. Yurt
CLIP
101
16
0
17 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu
Fei Chen
Hong Wang
Jiawei Li
Wei Cao
Jiacheng Sun
Hao Sun
DiffM
136
10
0
17 Jul 2023
Contrastive Multi-Task Dense Prediction
Contrastive Multi-Task Dense Prediction
S. Yang
Hanrong Ye
Dan Xu
105
11
0
16 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty
  Calibration in Domain Adaptation
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
59
0
0
14 Jul 2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
Daiqing Li
Huan Ling
Amlan Kar
David Acuna
Seung Wook Kim
Karsten Kreis
Antonio Torralba
Sanja Fidler
VLMDiffM
85
29
0
14 Jul 2023
Mini-Batch Optimization of Contrastive Loss
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho
Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
Jeong-Gwan Lee
Anna Lee
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
SSL
90
10
0
12 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential
  Equations
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon
Q. Garrido
Hannah Lawrence
Danyal Rehman
Yann LeCun
B. Kiani
SSL
111
26
0
11 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification
Class Instance Balanced Learning for Long-Tailed Classification
Marc-Antoine Lavoie
Steven Waslander
102
0
0
11 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
91
2
0
09 Jul 2023
Deductive Additivity for Planning of Natural Language Proofs
Deductive Additivity for Planning of Natural Language Proofs
Zayne Sprague
Kaj Bostrom
Swarat Chaudhuri
Greg Durrett
LRM
83
5
0
05 Jul 2023
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
Sunder Ali Khowaja
Kapal Dev
Syed Muhammad Anwar
M. Linguraru
FedML
53
3
0
04 Jul 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Chengkai Hou
Jieyu Zhang
Hong Wang
Dinesh Manocha
80
24
0
28 Jun 2023
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive
  Learners
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Bowen Shi
Xiaopeng Zhang
Yaoming Wang
Jin Li
Wenrui Dai
Junni Zou
H. Xiong
Qi Tian
120
4
0
28 Jun 2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for
  Remote Sensing Image Semantic Segmentation
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Zhaoyang Zhang
Zhen Ren
Chao Tao
Yunsheng Zhang
Cheng-Shuang Peng
Haifeng Li
SSL
101
12
0
28 Jun 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
230
2
0
28 Jun 2023
A generic self-supervised learning (SSL) framework for representation
  learning from spectra-spatial feature of unlabeled remote sensing imagery
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery
Xin Zhang
Liangxiu Han
SSL
105
3
0
27 Jun 2023
A Self-supervised Contrastive Learning Method for Grasp Outcomes
  Prediction
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction
Chengliang Liu
Binhua Huang
Yiwen Liu
Yuanzhe Su
Kenny T Mai
Yupo Zhang
Zhengkun Yi
Xinyu Wu
SSL
74
3
0
26 Jun 2023
Manifold Contrastive Learning with Variational Lie Group Operators
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah
Alec Helbling
Kyle A. Johnsen
Christopher Rozell
SSLDRL
81
1
0
23 Jun 2023
Patch-Level Contrasting without Patch Correspondence for Accurate and
  Dense Contrastive Representation Learning
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang
Feng Zhu
Rui Zhao
Junchi Yan
89
18
0
23 Jun 2023
Inter-Instance Similarity Modeling for Contrastive Learning
Inter-Instance Similarity Modeling for Contrastive Learning
Chen Shen
Dawei Liu
Hao Tang
Zhe Qu
Jianxin Wang
SSL
79
7
0
21 Jun 2023
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
Chiyu Zhang
Qi Yan
Li Meng
Tristan Sylvain
AI4TS
70
2
0
21 Jun 2023
Continual Learners are Incremental Model Generalizers
Continual Learners are Incremental Model Generalizers
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
86
5
0
21 Jun 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical
  Imaging via Second-order Graph Matching
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
D. M. Nguyen
Hoang Nguyen
Nghiem Tuong Diep
Tan Ngoc Pham
T. Cao
...
Nhat Ho
Shadi Albarqouni
P. Xie
Daniel Sonntag
Mathias Niepert
VLMMedIm
150
55
0
20 Jun 2023
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
75
2
0
20 Jun 2023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large
  Vision-Language Model for Remote Sensing
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang
Tiancheng Zhao
Yulong Guo
Yuxiang Cai
DiffMVLM
180
66
0
20 Jun 2023
ExpPoint-MAE: Better interpretability and performance for
  self-supervised point cloud transformers
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
Ioannis Romanelis
Vlassis Fotis
Konstantinos Moustakas
Adrian Munteanu
ViT3DPC
123
4
0
19 Jun 2023
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with
  Adversarial Network for Audio-Visual Speech Recognition
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
Yuchen Hu
Chen Chen
Ruizhe Li
Heqing Zou
Chng Eng Siong
GAN
115
9
0
18 Jun 2023
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for
  Robust Audio-Visual Speech Recognition
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
Yuchen Hu
Ruizhe Li
Cheng Chen
Chengwei Qin
Qiu-shi Zhu
Eng Siong Chng
130
5
0
18 Jun 2023
Joint multi-modal Self-Supervised pre-training in Remote Sensing:
  Application to Methane Source Classification
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
P. Berg
M. Pham
Nicolas Courty
SSL
59
2
0
16 Jun 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
85
33
0
15 Jun 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
84
91
0
15 Jun 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness
  Learning and Fair Identity Normalization
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Yan Luo
Yu Tian
Minfei Shi
Louis R. Pasquale
Lucy Q. Shen
Nazlee Zebardast
T. Elze
Mengyu Wang
98
20
0
15 Jun 2023
Advancing Volumetric Medical Image Segmentation via Global-Local Masked
  Autoencoder
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Jiafan Zhuang
Luyang Luo
Hao Chen
102
11
0
15 Jun 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without
  Data Splitting
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs
Antonin Schrab
Arthur Gretton
112
21
0
14 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing
  Diffusion Models
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang
Yair Schiff
Aaron Gokaslan
Weishen Pan
Fei Wang
Chris De Sa
Volodymyr Kuleshov
DiffM
117
41
0
14 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
112
0
0
14 Jun 2023
GeneCIS: A Benchmark for General Conditional Image Similarity
GeneCIS: A Benchmark for General Conditional Image Similarity
S. Vaze
Nicolas Carion
Ishan Misra
VLMDiffM
102
30
0
13 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
81
29
0
13 Jun 2023
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