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Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,357 papers shown
Title
Multi-organ Self-supervised Contrastive Learning for Breast Lesion
  Segmentation
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
Hugo Figueiras
Helena Aidos
Nuno C. Garcia
SSL
32
0
0
21 Feb 2024
Inductive Graph Alignment Prompt: Bridging the Gap between Graph
  Pre-training and Inductive Fine-tuning From Spectral Perspective
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
Ran Zhang
Peiyan Zhang
Zheng Fang
Qingqing Long
AI4CE
75
14
0
21 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning
Analysis of Using Sigmoid Loss for Contrastive Learning
Chungpa Lee
Joonhwan Chang
Jy-yong Sohn
87
4
0
20 Feb 2024
Separating common from salient patterns with Contrastive Representation
  Learning
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSLDRL
107
1
0
19 Feb 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive
  Learning
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang
Xiang Lan
Xiaoye Qu
Yu Cheng
Mengling Feng
Bryan Hooi
SSL
104
5
0
19 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
124
0
0
18 Feb 2024
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning
fff-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
Yiwei Lu
Guojun Zhang
Sun Sun
Hongyu Guo
Yaoliang Yu
VLM
50
6
0
15 Feb 2024
Scalable Graph Self-Supervised Learning
Scalable Graph Self-Supervised Learning
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Raika Karimi
Ali Ghodsi
SSL
50
0
0
14 Feb 2024
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning
  Using Weight Regularization
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Ali Ghodsi
65
2
0
14 Feb 2024
Affine transformation estimation improves visual self-supervised
  learning
Affine transformation estimation improves visual self-supervised learning
David Torpey
Richard Klein
SSL
38
1
0
14 Feb 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised
  Class-Imbalanced Learning
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi
Hyun-Dong Lee
Dong-Sig Han
Junseok Park
Heeyeon Koo
Byoung-Tak Zhang
94
1
0
14 Feb 2024
Leveraging Self-Supervised Instance Contrastive Learning for Radar
  Object Detection
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
SSL
70
0
0
13 Feb 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular
  Property Prediction: A Systematic Survey
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
Taojie Kuang
Pengfei Liu
Zhixiang Ren
AI4CE
87
3
0
11 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised
  Representation Learning
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
Mahdi Naseri
Mahdi Biparva
SSL
74
0
0
09 Feb 2024
Learning Contrastive Feature Representations for Facial Action Unit
  Detection
Learning Contrastive Feature Representations for Facial Action Unit Detection
Ziqiao Shang
Bin Liu
Fengmao Lv
Fei Teng
Tian-Jie Li
108
1
0
09 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive
  Learning Simultaneously
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Yihan Wang
Yifan Zhu
Xiao-Shan Gao
AAML
96
6
0
06 Feb 2024
Pre-training of Lightweight Vision Transformers on Small Datasets with
  Minimally Scaled Images
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images
Jen Hong Tan
ViT
26
3
0
06 Feb 2024
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin
Meng Xu
Zhihua Xiong
Huangang Wang
128
4
0
06 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Yuxuan Wang
Yunzhong Qiu
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
78
15
0
04 Feb 2024
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Farnoosh Arefi
Amir M. Mansourian
S. Kasaei
ISeg
91
1
0
04 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
91
5
0
04 Feb 2024
Exploring Intrinsic Properties of Medical Images for Self-Supervised
  Binary Semantic Segmentation
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
P. Singh
Jacopo Cirrone
86
0
0
04 Feb 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder
  and Knowledge-guided Contrastive Learning
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
Zhe Li
Laurence T. Yang
Bocheng Ren
Xin Nie
Zhangyang Gao
Cheng Tan
Stan Z. Li
VLM
75
16
0
03 Feb 2024
Root Cause Analysis In Microservice Using Neural Granger Causal
  Discovery
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
Cheng-Ming Lin
Ching Chang
Wei-Yao Wang
Kuang-Da Wang
Wenjie Peng
AI4TS
98
15
0
02 Feb 2024
SimAda: A Simple Unified Framework for Adapting Segment Anything Model
  in Underperformed Scenes
SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes
Yiran Song
Qianyu Zhou
Xuequan Lu
Zhiwen Shao
Lizhuang Ma
87
7
0
31 Jan 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
94
4
0
30 Jan 2024
Computer Vision for Primate Behavior Analysis in the Wild
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg
Timo Lüddecke
Jonathan Henrich
Sharmita Dey
Matthias Nuske
...
Alexander Gail
Stefan Treue
H. Scherberger
Florentin Wörgötter
Alexander S. Ecker
129
6
0
29 Jan 2024
Importance-Aware Adaptive Dataset Distillation
Importance-Aware Adaptive Dataset Distillation
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
116
9
0
29 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Zhongang Qi
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
100
28
0
28 Jan 2024
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
Ömer Veysel Çagatan
SSL
69
0
0
27 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
97
3
0
25 Jan 2024
Deep Clustering with Diffused Sampling and Hardness-aware
  Self-distillation
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
Hai-Xin Zhang
Dong Huang
127
0
0
25 Jan 2024
Towards Efficient and Effective Deep Clustering with Dynamic Grouping
  and Prototype Aggregation
Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation
Hai-Xin Zhang
Dong Huang
47
0
0
24 Jan 2024
Learning Representations for Clustering via Partial Information
  Discrimination and Cross-Level Interaction
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction
Hai-Xin Zhang
Dong Huang
Hua-Bao Ling
Guang-Yu Zhang
Wei-jun Sun
Zi-hao Wen
47
0
0
24 Jan 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
FedML
153
2
0
22 Jan 2024
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated
  Sequence and Structure-Based Peptide Encoding
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
Ruochi Zhang
Haoran Wu
Chang Liu
Hua-Wang Li
Yuqian Wu
...
Yifan Wang
Yifan Deng
Jiahui Chen
Fengfeng Zhou
Xin Gao
AI4TS
79
2
0
21 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream
  Generalization
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang
Muhammad Ahmad Kaleem
Adam Dziedzic
Michael Backes
Nicolas Papernot
Franziska Boenisch
SSL
76
11
0
19 Jan 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang
R. Campello
S. Erfani
Xingjun Ma
Michael E. Houle
James Bailey
87
5
0
19 Jan 2024
Exploring scalable medical image encoders beyond text supervision
Exploring scalable medical image encoders beyond text supervision
Fernando Pérez-García
Harshita Sharma
Sam Bond-Taylor
Kenza Bouzid
Valentina Salvatelli
...
Maria T. A. Wetscherek
Noel C. F. Codella
Stephanie L. Hyland
Javier Alvarez-Valle
Ozan Oktay
LM&MAMedIm
139
9
0
19 Jan 2024
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly
  Supervised Text-based Person Re-Identification
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Re-Identification
Yanwei Zheng
Xinpeng Zhao
Chuanlin Lan
Xiaowei Zhang
Bowen Huang
Jibin Yang
Dongxiao Yu
VLM
78
0
0
18 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
84
8
0
18 Jan 2024
Visual Robotic Manipulation with Depth-Aware Pretraining
Visual Robotic Manipulation with Depth-Aware Pretraining
Wanying Wang
Jinming Li
Yichen Zhu
Zhiyuan Xu
Zhengping Che
Chaomin Shen
Yaxin Peng
Dong Liu
Feifei Feng
Jian Tang
MDE
87
4
0
17 Jan 2024
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
Qi Bi
Wei Ji
Jingjun Yi
Haolan Zhan
Gui-Song Xia
111
1
0
16 Jan 2024
CCFC: Bridging Federated Clustering and Contrastive Learning
CCFC: Bridging Federated Clustering and Contrastive Learning
Jing Liu
Jing Liu
Zhonghan Zhang
FedML
106
3
0
12 Jan 2024
A Study on Self-Supervised Pretraining for Vision Problems in
  Gastrointestinal Endoscopy
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson
B. Matuszewski
69
2
0
11 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
51
0
0
11 Jan 2024
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion
  Constraint for Remote Sensing Image
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image
Jiayuan Tian
Jie Lei
Jiaqing Zhang
Weiying Xie
Yunsong Li
65
12
0
10 Jan 2024
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
Wenxi Chen
Yuzhe Liang
Ziyang Ma
Zhisheng Zheng
Xie Chen
ViT
107
22
0
07 Jan 2024
Understanding Representation Learnability of Nonlinear Self-Supervised
  Learning
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
Ruofeng Yang
Xiangyuan Li
Bo Jiang
Shuai Li
SSLMLT
79
2
0
06 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
95
0
0
06 Jan 2024
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