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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
Rethink Arbitrary Style Transfer with Transformer and Contrastive
  Learning
Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning
Zhanjie Zhang
Jiakai Sun
Guangyuan Li
Lei Zhao
Quanwei Zhang
Zehua Lan
Haolin Yin
Xing Wei
Huaizhong Lin
Zhiwen Zuo
95
13
0
21 Apr 2024
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised
  Video Object Segmentation
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation
Gensheng Pei
Yazhou Yao
Jianbo Jiao
Wenguan Wang
Liqiang Nie
Jinhui Tang
VOS
98
1
0
21 Apr 2024
Joint Quality Assessment and Example-Guided Image Processing by
  Disentangling Picture Appearance from Content
Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content
Abhinau K. Venkataramanan
Cosmin Stejerean
Ioannis Katsavounidis
Hassene Tmar
A. Bovik
DRL
113
1
0
20 Apr 2024
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
Ali Nasiri-Sarvi
Vincent Quoc-Huy Trinh
Hassan Rivaz
Mahdi S. Hosseini
69
8
0
20 Apr 2024
Adaptive Regularization of Representation Rank as an Implicit Constraint
  of Bellman Equation
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Qiang He
Dinesh Manocha
Meng Fang
S. Maghsudi
93
3
0
19 Apr 2024
DISC: Latent Diffusion Models with Self-Distillation from Separated
  Conditions for Prostate Cancer Grading
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading
M. M. Ho
Elham Ghelichkhan
Yosep Chong
Yufei Zhou
Beatrice Knudsen
Tolga Tasdizen
MedImDiffM
64
2
0
19 Apr 2024
An Experimental Study on Exploring Strong Lightweight Vision
  Transformers via Masked Image Modeling Pre-Training
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training
Jin Gao
Shubo Lin
Shaoru Wang
Yutong Kou
Zeming Li
Liang Li
Congxuan Zhang
Xiaoqin Zhang
Yizheng Wang
Weiming Hu
115
1
0
18 Apr 2024
Harnessing Joint Rain-/Detail-aware Representations to Eliminate
  Intricate Rains
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran
Peirong Ma
Zhiquan He
Hao Ren
Hong-wei Lu
84
4
0
18 Apr 2024
The devil is in the object boundary: towards annotation-free instance
  segmentation using Foundation Models
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models
Cheng Shi
Sibei Yang
VLM
96
4
0
18 Apr 2024
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
Carlos Peñarrubia
Carlos Garrido-Munoz
J. J. Valero-Mas
Jorge Calvo-Zaragoza
207
2
0
17 Apr 2024
Self-Supervised Learning Featuring Small-Scale Image Dataset for
  Treatable Retinal Diseases Classification
Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
Luffina C. Huang
Darren J. Chiu
Manish Mehta
73
1
0
15 Apr 2024
Knowledge-enhanced Visual-Language Pretraining for Computational
  Pathology
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
Xiao Zhou
Xiaoman Zhang
Chaoyi Wu
Ya Zhang
Weidi Xie
Yanfeng Wang
VLM
119
7
0
15 Apr 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised
  Learning?
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
111
1
0
15 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
69
15
0
13 Apr 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and
  Perspectives
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
Yidan Liu
Jun Yue
Shaobo Xia
Pedram Ghamisi
Weiying Xie
Leyuan Fang
DiffM
97
17
0
13 Apr 2024
Exploring Contrastive Learning for Long-Tailed Multi-Label Text
  Classification
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
Alexandre Audibert
Aurélien Gauffre
Massih-Reza Amini
88
2
0
12 Apr 2024
Contrastive-Based Deep Embeddings for Label Noise-Resilient
  Histopathology Image Classification
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
Lucas Dedieu
Nicolas Nerrienet
A. Nivaggioli
Clara Simmat
Marceau Clavel
Arnaud Gauthier
Stéphane Sockeel
Rémy Peyret
NoLa
73
1
0
11 Apr 2024
PromptSync: Bridging Domain Gaps in Vision-Language Models through
  Class-Aware Prototype Alignment and Discrimination
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination
Anant Khandelwal
VLM
70
1
0
11 Apr 2024
How to Craft Backdoors with Unlabeled Data Alone?
How to Craft Backdoors with Unlabeled Data Alone?
Yifei Wang
Wenhan Ma
Stefanie Jegelka
Yisen Wang
SyDa
59
0
0
10 Apr 2024
On the Surprising Efficacy of Distillation as an Alternative to
  Pre-Training Small Models
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models
Sean Farhat
Deming Chen
118
0
0
04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated
  Images
Multi Positive Contrastive Learning with Pose-Consistent Generated Images
Sho Inayoshi
Aji Resindra Widya
Satoshi Ozaki
Junji Otsuka
Takeshi Ohashi
3DH
149
1
0
04 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
92
8
0
03 Apr 2024
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
Boran Han
Shuai Zhang
Xingjian Shi
Markus Reichstein
84
27
0
01 Apr 2024
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis
  via Forward Dynamics Guided 4D Imitation
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation
Yunze Liu
Changxi Chen
Chenjing Ding
Li Yi
67
6
0
01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
73
7
0
01 Apr 2024
Learning to Rank Patches for Unbiased Image Redundancy Reduction
Learning to Rank Patches for Unbiased Image Redundancy Reduction
Yang Luo
Zhineng Chen
Peng Zhou
Zuxuan Wu
Xieping Gao
Yu-Gang Jiang
SSL
81
4
0
31 Mar 2024
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware
  Stable Diffusion
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
Chunyang Bi
Xin Luo
Sheng Shen
Mengxi Zhang
Huanjing Yue
Jingyu Yang
61
2
0
31 Mar 2024
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide
  Pathological Image Classification: An Instance Attribute Viewpoint
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
Linghan Cai
Shenjin Huang
Ye Zhang
Jinpeng Lu
Yongbing Zhang
108
2
0
30 Mar 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
96
22
0
30 Mar 2024
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
Liangjiang Wen
Xiasi Wang
Jianzhuang Liu
Zenglin Xu
54
3
0
28 Mar 2024
Generative Multi-modal Models are Good Class-Incremental Learners
Generative Multi-modal Models are Good Class-Incremental Learners
Xusheng Cao
Haori Lu
Linlan Huang
Xialei Liu
Ming-Ming Cheng
CLL
95
15
0
27 Mar 2024
Towards Large-Scale Training of Pathology Foundation Models
Towards Large-Scale Training of Pathology Foundation Models
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
MedImAI4CE
87
11
0
24 Mar 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Yiwei Zhou
Xiaobo Xia
Zhiwei Lin
Bo Han
Tongliang Liu
VLM
106
16
0
21 Mar 2024
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT
  Descriptors
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
Saksham Suri
Matthew Walmer
Kamal Gupta
Abhinav Shrivastava
74
7
0
21 Mar 2024
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Guopeng Li
Ming Qian
Gui-Song Xia
83
23
0
21 Mar 2024
On Pretraining Data Diversity for Self-Supervised Learning
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Hammoud
Tuhin Das
Fabio Pizzati
Philip Torr
Adel Bibi
Guohao Li
153
3
0
20 Mar 2024
Few-shot Oriented Object Detection with Memorable Contrastive Learning
  in Remote Sensing Images
Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
Jiawei Zhou
Wuzhou Li
Yi Cao
Hongtao Cai
Xiang Li
162
1
0
20 Mar 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion
  Prediction with T1-MRI-based Brain Network
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network
Yilin Leng
Wenju Cui
Chen Bai
Xi Jiang
Shuangqing Chen
Jian Zheng
64
0
0
20 Mar 2024
Do Generated Data Always Help Contrastive Learning?
Do Generated Data Always Help Contrastive Learning?
Yifei Wang
Jizhe Zhang
Yisen Wang
DiffM
96
26
0
19 Mar 2024
GenView: Enhancing View Quality with Pretrained Generative Model for
  Self-Supervised Learning
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li
Yibo Yang
Hefei Ling
Jianlong Wu
Yue Yu
Guohao Li
Min Zhang
SSL
101
6
0
18 Mar 2024
HVDistill: Transferring Knowledge from Images to Point Clouds via
  Unsupervised Hybrid-View Distillation
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
Sha Zhang
Jiajun Deng
Lei Bai
Houqiang Li
Wanli Ouyang
Yanyong Zhang
3DPC
96
8
0
18 Mar 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray
  Self-Supervised Representation Learning
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
Azad Singh
Vandan Gorade
Deepak Mishra
SSL
65
2
0
18 Mar 2024
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised
  Domain Adaptation
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
Xi Chen
Haosen Yang
Huicong Zhang
Hongxun Yao
Xiatian Zhu
80
8
0
17 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILMAAML
114
11
0
16 Mar 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task
  Partially Supervised Learning
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning
Meixuan Li
Tianyu Li
Guoqing Wang
Peng Wang
Yang Yang
H. Shen
96
1
0
15 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
Zhixiu Lu
Hailong Li
N. Parikh
Jonathan R. Dillman
Lili He
MedImVLM
129
1
0
15 Mar 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning
  for 3D Understanding
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
Chengyao Wang
Li Jiang
Xiaoyang Wu
Zhuotao Tian
Bohao Peng
Hengshuang Zhao
Jiaya Jia
3DPCSSL
134
17
0
14 Mar 2024
CART: Caltech Aerial RGB-Thermal Dataset in the Wild
CART: Caltech Aerial RGB-Thermal Dataset in the Wild
Connor T. Lee
Matthew O. Anderson
Nikhil Raganathan
Xingxing Zuo
Kevin Do
Georgia Gkioxari
Soon-Jo Chung
80
8
0
13 Mar 2024
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving
  Representation Learning
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
Jialv Zou
Bencheng Liao
Qian Zhang
Wenyu Liu
Xinggang Wang
78
3
0
13 Mar 2024
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for
  Noisy Correspondence
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence
Ruochen Zheng
Jiahao Hong
Changxin Gao
Nong Sang
75
1
0
13 Mar 2024
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