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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
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Papers citing "Improved Baselines with Momentum Contrastive Learning"

50 / 2,088 papers shown
Title
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
26
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
29
5
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
19
1
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
29
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
23
1
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
30
19
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
21
2
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
41
10
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
MedIm
AI4CE
37
9
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
34
10
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
33
4
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
32
17
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 H. S. Torr
Adel Bibi
Bernard Ghanem
98
2
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
27
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
32
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
25
22
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
Xiangtai Li
Jianlong Wu
Yue Yu
Bernard Ghanem
Min Zhang
SSL
32
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
48
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
30
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
30
2
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
SILM
AAML
45
9
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
33
0
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
Lili He
VLM
MedIm
27
0
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
3DPC
SSL
75
13
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
40
7
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
41
2
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
26
1
0
13 Mar 2024
BID: Boundary-Interior Decoding for Unsupervised Temporal Action
  Localization Pre-Trainin
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
Qihang Fang
Chengcheng Tang
Shugao Ma
Yanchao Yang
37
1
0
12 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
61
2
0
11 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised
  Contrastive Learning
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
Zijun Long
Lipeng Zhuang
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Paul Henderson
NoLa
25
1
0
10 Mar 2024
Decoupled Contrastive Learning for Long-Tailed Recognition
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan
Shiliang Zhang
36
5
0
10 Mar 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware
  Contrastive Learning
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Bingqian Lin
Yanxin Long
Yi Zhu
Fengda Zhu
Xiaodan Liang
QiXiang Ye
Liang Lin
29
5
0
09 Mar 2024
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Morningstar
Alex Bijamov
Chris Duvarney
Luke Friedman
N. Kalibhat
...
Philip Mansfield
Renan A. Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
SSL
23
10
0
08 Mar 2024
Poly-View Contrastive Learning
Poly-View Contrastive Learning
Amitis Shidani
Devon Hjelm
Jason Ramapuram
Russ Webb
Eeshan Gunesh Dhekane
Dan Busbridge
VLM
SSL
34
4
0
08 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable
  Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
39
8
0
06 Mar 2024
LoDisc: Learning Global-Local Discriminative Features for
  Self-Supervised Fine-Grained Visual Recognition
LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
Jialu Shi
Zhiqiang Wei
Jie Nie
Lei Huang
SSL
35
0
0
06 Mar 2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting
  Under Time-Domain Shift
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
Jun Chen
Weng-Keen Wong
B. Hamdaoui
47
3
0
06 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise
  Tolerance Pre-training
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training
Zihao Wang
Rui Zhu
Dongruo Zhou
Zhikun Zhang
John C. Mitchell
Haixu Tang
XiaoFeng Wang
AAML
43
6
0
05 Mar 2024
Self-Supervised Facial Representation Learning with Facial Region
  Awareness
Self-Supervised Facial Representation Learning with Facial Region Awareness
Zheng Gao
Ioannis Patras
SSL
38
10
0
04 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution
  with Label Refurbishment Considering Label Rarity
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
41
0
0
04 Mar 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
45
1
0
04 Mar 2024
Learning and Leveraging World Models in Visual Representation Learning
Learning and Leveraging World Models in Visual Representation Learning
Q. Garrido
Mahmoud Assran
Nicolas Ballas
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
46
24
0
01 Mar 2024
On the Convergence of Differentially-Private Fine-tuning: To Linearly
  Probe or to Fully Fine-tune?
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
Shuqi Ke
Charlie Hou
Giulia Fanti
Sewoong Oh
34
4
0
29 Feb 2024
Self-Supervised Learning with Generative Adversarial Networks for
  Electron Microscopy
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Bashir Kazimi
Karina Ruzaeva
Stefan Sandfeld
37
4
0
28 Feb 2024
A Large-scale Evaluation of Pretraining Paradigms for the Detection of
  Defects in Electroluminescence Solar Cell Images
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images
David Torpey
Lawrence Pratt
Richard Klein
27
0
0
27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
28
9
0
27 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
34
1
0
25 Feb 2024
IRConStyle: Image Restoration Framework Using Contrastive Learning and
  Style Transfer
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
Dongqi Fan
Xin Zhao
Liang Chang
24
1
0
24 Feb 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and
  In-Context Learning
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen
Jialin Song
Pu Ren
Shashank Subramanian
Dmitriy Morozov
Michael W. Mahoney
AI4CE
44
9
0
24 Feb 2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology
  representation learning
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
David Torpey
Richard Klein
SSL
31
1
0
23 Feb 2024
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