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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
Consistency Regularization Improves Placenta Segmentation in Fetal EPI
  MRI Time Series
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
Yingcheng Liu
Neerav Karani
Neel Dey
S. M. Abulnaga
Junshen Xu
P. E. Grant
Esra Abaci Turk
Polina Golland
55
0
0
05 Oct 2023
Better Safe than Sorry: Pre-training CLIP against Targeted Data
  Poisoning and Backdoor Attacks
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Wenhan Yang
Jingdong Gao
Baharan Mirzasoleiman
VLM
104
8
0
05 Oct 2023
FroSSL: Frobenius Norm Minimization for Efficient Multiview
  Self-Supervised Learning
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
Oscar Skean
Aayush Dhakal
Nathan Jacobs
Luis Gonzalo Sánchez Giraldo
70
0
0
04 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for
  Gradient-Based Meta-Learning
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
138
804
0
03 Oct 2023
Understanding Masked Autoencoders From a Local Contrastive Perspective
Understanding Masked Autoencoders From a Local Contrastive Perspective
Xiaoyu Yue
Lei Bai
Meng Wei
Jiangmiao Pang
Xihui Liu
Luping Zhou
Wanli Ouyang
SSL
106
4
0
03 Oct 2023
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based
  Question Answering
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering
Bruno Souza
Marius Aasan
Hélio Pedrini
Adín Ramirez Rivera
SSL
86
2
0
03 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image
  Segmentation with Limited Annotation
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
SSL
65
5
0
02 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive
  Learning
An Investigation of Representation and Allocation Harms in Contrastive Learning
Subha Maity
Mayank Agarwal
Mikhail Yurochkin
Yuekai Sun
97
2
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
102
3
0
02 Oct 2023
Understanding Transferable Representation Learning and Zero-shot
  Transfer in CLIP
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen
Yihe Deng
Yuanzhi Li
Quanquan Gu
VLM
104
12
0
02 Oct 2023
Siamese Representation Learning for Unsupervised Relation Extraction
Siamese Representation Learning for Unsupervised Relation Extraction
Guangxin Zhang
Shu Chen
SSL
53
2
0
01 Oct 2023
Self-supervised Learning of Contextualized Local Visual Embeddings
Self-supervised Learning of Contextualized Local Visual Embeddings
T. Silva
Hélio Pedrini
Adín Ramirez Rivera
SSL
99
3
0
01 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation
  Learning
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
105
1
0
30 Sep 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised Learning
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
83
14
0
29 Sep 2023
Low-Resource Self-Supervised Learning with SSL-Enhanced TTS
Low-Resource Self-Supervised Learning with SSL-Enhanced TTS
Xin Wang
Taein Kwon
Wei-Ning Hsu
Yossi Adi
Tu Nguyen
D. Bohus
Emmanuel Dupoux
Neel Joshi
Abdelrahman Mohamed
42
4
0
29 Sep 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
98
6
0
28 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal
  Predictors
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Yuanyi Zhong
Anand Bhattad
Yu-Xiong Wang
David Forsyth
MDE
64
2
0
28 Sep 2023
Rethinking Domain Generalization: Discriminability and Generalizability
Rethinking Domain Generalization: Discriminability and Generalizability
Shaocong Long
Qianyu Zhou
Chenhao Ying
Lizhuang Ma
Yuan Luo
OODAI4CE
134
14
0
28 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
82
50
0
28 Sep 2023
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
Ana Ezquerro
Carlos Gómez-Rodríguez
Kevin Dela Rosa
Derek Hao Hu
45
6
0
28 Sep 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Han Bao
SSLMLT
97
1
0
28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TSGNN
142
5
0
27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
92
0
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
94
7
0
26 Sep 2023
Regress Before Construct: Regress Autoencoder for Point Cloud
  Self-supervised Learning
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning
Yang Liu
Chong Chen
Can Wang
Xulin King
Mengyuan Liu
3DPC
69
9
0
25 Sep 2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained
  Recognition
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
Oindrila Saha
Subhransu Maji
SSL
90
2
0
25 Sep 2023
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP
Prajwal Ganugula
Y. Kumar
N. Reddy
Prabhath Chellingi
A. Thakur
Neeraj Kasera
C. S. Anand
CLIPDiffM
44
3
0
24 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and
  Generalization
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
95
4
0
23 Sep 2023
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and
  Saliency Tells You Where
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
SSL
89
0
0
22 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
82
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
60
5
0
21 Sep 2023
A Knowledge-Driven Cross-view Contrastive Learning for EEG
  Representation
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation
Weining Weng
Yang Gu
Qihui Zhang
Yingying Huang
Chunyan Miao
Yiqiang Chen
71
7
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
105
10
0
21 Sep 2023
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Shuang Zeng
Lei Zhu
Xinliang Zhang
Qian Chen
Hangzhou He
...
Zhaoheng Xie
Yanye Lu
Qiushi Ren
Zhaoheng Xie
Yanye Lu
152
0
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
101
0
0
21 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
85
19
0
19 Sep 2023
Personalized Food Image Classification: Benchmark Datasets and New
  Baseline
Personalized Food Image Classification: Benchmark Datasets and New Baseline
Xinyue Pan
Jiangpeng He
Fengqing M Zhu
98
5
0
15 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
79
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
55
5
0
15 Sep 2023
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning
  in the Debiasing Perspective
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
Pu Miao
Zeyao Du
Junlin Zhang
SSL
77
7
0
14 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
95
8
0
14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware
  Machine-learning-assisted Histopathology
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
MedImUQCV
70
0
0
13 Sep 2023
Domain-Aware Augmentations for Unsupervised Online General Continual
  Learning
Domain-Aware Augmentations for Unsupervised Online General Continual Learning
Nicolas Michel
Romain Negrel
Giovanni Chierchia
J. Bercher
CLL
66
2
0
13 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSLCLL
74
9
0
12 Sep 2023
Learning from History: Task-agnostic Model Contrastive Learning for
  Image Restoration
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
Gang Wu
Junjun Jiang
Kui Jiang
Xianming Liu
VLM
70
12
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Introspective Deep Metric Learning
Introspective Deep Metric Learning
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
82
12
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Decoupling Common and Unique Representations for Multimodal
  Self-supervised Learning
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Chenying Liu
Zhitong Xiong
Xiaoxiang Zhu
SSL
97
19
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Towards Federated Learning Under Resource Constraints via Layer-wise
  Training and Depth Dropout
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Pengfei Guo
Warren Morningstar
Raviteja Vemulapalli
K. Singhal
Vishal M. Patel
Philip Mansfield
FedML
87
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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
81
15
0
11 Sep 2023
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