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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
See to Touch: Learning Tactile Dexterity through Visual Incentives
See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Güzey
Yinlong Dai
Ben Evans
Soumith Chintala
Lerrel Pinto
109
37
0
21 Sep 2023
SCOB: Universal Text Understanding via Character-wise Supervised
  Contrastive Learning with Online Text Rendering for Bridging Domain Gap
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap
Daehee Kim
Yoon Kim
Donghyun Kim
Yumin Lim
Geewook Kim
Taeho Kil
94
4
0
21 Sep 2023
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
Jinzhao Zhou
Yiqun Duan
Yu-Cheng Chang
Yu-Kai Wang
Chin-Teng Lin
80
6
0
21 Sep 2023
Elevating Skeleton-Based Action Recognition with Efficient
  Multi-Modality Self-Supervision
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Yiping Wei
Kunyu Peng
Alina Roitberg
Jiaming Zhang
Junwei Zheng
R. Liu
Yufan Chen
Kailun Yang
Rainer Stiefelhagen
92
3
0
21 Sep 2023
A Study of Forward-Forward Algorithm for Self-Supervised Learning
A Study of Forward-Forward Algorithm for Self-Supervised Learning
Jonas Brenig
Radu Timofte
SSL
73
5
0
21 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
Tung M. Luu
Thang Vu
Chang D. Yoo
115
10
0
21 Sep 2023
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Yifei Chen
Kunyu Peng
Alina Roitberg
David Schneider
Jiaming Zhang
Junwei Zheng
R. Liu
Yufan Chen
Kailun Yang
Rainer Stiefelhagen
116
0
0
21 Sep 2023
SEMPART: Self-supervised Multi-resolution Partitioning of Image
  Semantics
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
Sriram Ravindran
Debraj Basu
112
3
0
20 Sep 2023
Sound Source Localization is All about Cross-Modal Alignment
Sound Source Localization is All about Cross-Modal Alignment
Arda Senocak
H. Ryu
Junsik Kim
Tae-Hyun Oh
Hanspeter Pfister
Joon Son Chung
97
19
0
19 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition
Latent Space Energy-based Model for Fine-grained Open Set Recognition
Wentao Bao
Qi Yu
Yu Kong
BDL
81
2
0
19 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
72
5
0
19 Sep 2023
Heterogeneous Generative Knowledge Distillation with Masked Image
  Modeling
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
Ziming Wang
Shumin Han
Xiaodi Wang
Jing Hao
Xianbin Cao
Baochang Zhang
VLM
74
0
0
18 Sep 2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation
  with Multi-Perspective Meta Labels
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
Benlin Liu
Jian Wu
VLM
97
6
0
16 Sep 2023
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual
  Masked Autoencoder
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder
Xingjian Diao
Ming Cheng
Shitong Cheng
VGen
95
10
0
15 Sep 2023
BROW: Better featuRes fOr Whole slide image based on self-distillation
BROW: Better featuRes fOr Whole slide image based on self-distillation
Yuan Wu
Shaojie Li
Zhiqiang Du
Wentao Zhu
60
5
0
15 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image
  Translation for Histopathology Images
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Zhiyun Song
Penghui Du
Junpeng Yan
Keqin Li
Jianzhong Shou
Maode Lai
Yubo Fan
Yan Xu
97
8
0
14 Sep 2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati
Lili Meng
R. D. Evans
110
9
0
13 Sep 2023
Optimizing Audio Augmentations for Contrastive Learning of
  Health-Related Acoustic Signals
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
Louis Blankemeier
Sebastien Baur
Wei-Hung Weng
Jake Garrison
Yossi Matias
Shruthi Prabhakara
Diego Ardila
Zaid Nabulsi
77
0
0
11 Sep 2023
Temporal Action Localization with Enhanced Instant Discriminability
Temporal Action Localization with Enhanced Instant Discriminability
Ding Shi
Qiong Cao
Yujie Zhong
Shan An
Jian Cheng
Haogang Zhu
Dacheng Tao
100
9
0
11 Sep 2023
Graph-Aware Contrasting for Multivariate Time-Series Classification
Graph-Aware Contrasting for Multivariate Time-Series Classification
Yucheng Wang
Yuecong Xu
Jianfei Yang
Min-man Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
97
15
0
11 Sep 2023
Unified Contrastive Fusion Transformer for Multimodal Human Action
  Recognition
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition
Kyoung Ok Yang
Junho Koh
Jun-Won Choi
84
0
0
10 Sep 2023
Self-Supervised Transformer with Domain Adaptive Reconstruction for
  General Face Forgery Video Detection
Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection
Daichi Zhang
Zihao Xiao
Jianmin Li
Shiming Ge
CVBMViT
63
2
0
09 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Si-Yu Yi
Wei Ju
Yifang Qin
Xiao Luo
Luchen Liu
Yong-Dao Zhou
Ming Zhang
125
25
0
09 Sep 2023
Unsupervised Gaze-aware Contrastive Learning with Subject-specific
  Condition
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition
Li-Huan Du
Xucong Zhang
Guohao Lan
CVBM
77
1
0
08 Sep 2023
Unsupervised Object Localization with Representer Point Selection
Unsupervised Object Localization with Representer Point Selection
Yeonghwan Song
Seokwoo Jang
Dina Katabi
Jeany Son
3DPC
69
3
0
08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
Neha Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
Soheil Feizi
74
0
0
07 Sep 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped
  Positions
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Haochen Wang
Junsong Fan
Yuxi Wang
Kaiyou Song
Tong Wang
Zhaoxiang Zhang
84
21
0
07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen
Chen Dun
Anastasios Kyrillidis
63
3
0
07 Sep 2023
ViewMix: Augmentation for Robust Representation in Self-Supervised
  Learning
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
A. Das
Agnibh Dasgupta
SSL
64
0
0
06 Sep 2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd
  Flow Inference
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Songyu Ke
Ting Li
Li Song
Yanping Sun
Qintian Sun
Junbo Zhang
Yu Zheng
SSL
116
2
0
06 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSLLM&MA
108
2
0
05 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a
  Submodular Transferability Estimation Approach
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
97
2
0
05 Sep 2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant
  Objective
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
Alain Riou
Stefan Lattner
Gaëtan Hadjeres
Geoffroy Peeters
70
18
0
05 Sep 2023
Leveraging Self-Supervised Vision Transformers for Segmentation-based
  Transfer Function Design
Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design
Dominik Engel
Leon Sick
Timo Ropinski
ViT
87
0
0
04 Sep 2023
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment
Cheng Shi
Sibei Yang
VLMObjD
89
39
0
03 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
Regularly Truncated M-estimators for Learning with Noisy Labels
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
104
13
0
02 Sep 2023
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video
  Representation Learning
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
Minghao Zhu
Xiao Lin
Ronghao Dang
Chengju Liu
Qi Chen
VGen
85
9
0
01 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via
  Collaborative Experts
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Si-Yu Yi
Zhengyan Mao
Wei Ju
Yong-Dao Zhou
Luchen Liu
Xiao Luo
Ming Zhang
99
7
0
31 Aug 2023
MoMA: Momentum Contrastive Learning with Multi-head Attention-based
  Knowledge Distillation for Histopathology Image Analysis
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis
T. Vuong
J. T. Kwak
79
6
0
31 Aug 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
86
2
0
30 Aug 2023
Exploring Model Transferability through the Lens of Potential Energy
Exploring Model Transferability through the Lens of Potential Energy
Xiaotong Li
Zixuan Hu
Yixiao Ge
Ying Shan
Ling-Yu Duan
105
7
0
29 Aug 2023
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained
  Classification of Aircraft in SAR Images
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images
Bingying Yue
Jianhao Li
Hao Shi
Yupei Wang
Honghu Zhong
101
1
0
28 Aug 2023
Brain-like representational straightening of natural movies in robust
  feedforward neural networks
Brain-like representational straightening of natural movies in robust feedforward neural networks
Tahereh Toosi
Elias B. Issa
68
5
0
26 Aug 2023
Attending Generalizability in Course of Deep Fake Detection by Exploring
  Multi-task Learning
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
P. Balaji
Abhijit Das
Srijan Das
A. Dantcheva
CVBM
61
4
0
25 Aug 2023
Self-Supervised Representation Learning with Cross-Context Learning
  between Global and Hypercolumn Features
Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features
Zheng Gao
Chen Feng
Ioannis Patras
SSL
85
4
0
25 Aug 2023
Self-supervised Scene Text Segmentation with Object-centric Layered
  Representations Augmented by Text Regions
Self-supervised Scene Text Segmentation with Object-centric Layered Representations Augmented by Text Regions
Yibo Wang
Yunhu Ye
Yuanpeng Mao
Yanwei Yu
Yuanping Song
84
2
0
25 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
105
6
0
25 Aug 2023
MatchXML: An Efficient Text-label Matching Framework for Extreme
  Multi-label Text Classification
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
Hui Ye
Rajshekhar Sunderraman
Shihao Ji
115
3
0
25 Aug 2023
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using
  Stable Diffusion
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian
Lavisha Aggarwal
Andrea Colaco
Z. Kira
Mar González-Franco
DiffM
125
85
0
23 Aug 2023
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by
  Distribution Regularization with Semantic Calibration
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
Nana Zhou
Jiaxin Chen
Di Huang
72
4
0
23 Aug 2023
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