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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
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan
Barış Akgün
BDLOffRL
98
4
0
08 Aug 2023
Exploring Transformers for Open-world Instance Segmentation
Exploring Transformers for Open-world Instance Segmentation
Jiannan Wu
Yi Jiang
B. Yan
Huchuan Lu
Zehuan Yuan
Ping Luo
ViT
76
6
0
08 Aug 2023
Multi-Label Self-Supervised Learning with Scene Images
Multi-Label Self-Supervised Learning with Scene Images
Kevin Zhu
Minghao Fu
Jianxin Wu
SSL
85
15
0
07 Aug 2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Xinda Liu
Yaohui Zhu
Linhu Liu
Jiang Tian
Lili Wang
SSL
64
2
0
07 Aug 2023
A generative model for surrogates of spatial-temporal wildfire
  nowcasting
A generative model for surrogates of spatial-temporal wildfire nowcasting
Sibo Cheng
Yike Guo
Rossella Arcucci
SyDaAI4CE
66
9
0
05 Aug 2023
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free
  Domain Adaptation
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu
Ke Zhang
Lu Xia
Albert Y. C. Chen
Jiajia Luo
...
Nan Qiao
Xiao Zeng
Min Sun
Cheng-Hao Kuo
Ram Nevatia
VLM
41
27
0
04 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSLCLL
112
13
0
04 Aug 2023
Learning beyond sensations: how dreams organize neuronal representations
Learning beyond sensations: how dreams organize neuronal representations
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
SSLCLL
53
7
0
03 Aug 2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
79
18
0
03 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
76
3
0
02 Aug 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A
  Frequency Domain Regularization Approach
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
Chunwei Yang
Xiaoxu Chen
Lijun Sun
Hongyu Yang
Yuankai Wu
AI4TS
100
4
0
02 Aug 2023
Relational Contrastive Learning for Scene Text Recognition
Relational Contrastive Learning for Scene Text Recognition
Jinglei Zhang
Tiancheng Lin
Yi Xu
Kaibo Chen
Rui Zhang
93
11
0
01 Aug 2023
DINO-CXR: A self supervised method based on vision transformer for chest
  X-ray classification
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification
M. Shakouri
F. Iranmanesh
M. Eftekhari
MedIm
61
4
0
01 Aug 2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive
  Review
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
Dan Zhang
Fangfang Zhou
Felix Albu
Yuan-Gu Wei
Xiaohu Yang
Yuan Gu
Qiang Li
119
25
0
01 Aug 2023
EEG-based Cognitive Load Classification using Feature Masked
  Autoencoding and Emotion Transfer Learning
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
Dustin Pulver
Prithila Angkan
Paul Hungler
Ali Etemad
84
5
0
01 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label
  scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
145
1
0
31 Jul 2023
Stochastic positional embeddings improve masked image modeling
Stochastic positional embeddings improve masked image modeling
Amir Bar
Florian Bordes
Assaf Shocher
Mahmoud Assran
Pascal Vincent
Nicolas Ballas
Trevor Darrell
Amir Globerson
Yann LeCun
70
3
0
31 Jul 2023
Can Self-Supervised Representation Learning Methods Withstand
  Distribution Shifts and Corruptions?
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa
Johan Rodahl Holmgren
Kanjar De
Rajkumar Saini
Marcus Liwicki
SSLOOD
87
6
0
31 Jul 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining
  for Whole Slide Image Classification
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Wenhao Tang
Sheng Huang
Xiaoxian Zhang
Fengtao Zhou
Yi Zhang
Bo Liu
118
48
0
28 Jul 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified
  Graph Anomaly Detection
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
Jie Liu
Mengting He
Xuequn Shang
Jieming Shi
Tengjiao Wang
Hongzhi Yin
72
12
0
28 Jul 2023
Self-Supervised Graph Transformer for Deepfake Detection
Self-Supervised Graph Transformer for Deepfake Detection
Aminollah Khormali
Ji Yuan
ViT
71
11
0
27 Jul 2023
Thinker: Learning to Plan and Act
Thinker: Learning to Plan and Act
Stephen Chung
Ivan Anokhin
David M. Krueger
LLMAGOffRLLRM
54
9
0
27 Jul 2023
Mixture of Self-Supervised Learning
Mixture of Self-Supervised Learning
Aristo Renaldo Ruslim
N. Yudistira
B. Setiawan
SSL
29
0
0
27 Jul 2023
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Shangde Gao
Yichao Fu
Li-Yu Daisy Liu
Yuqiang Han
66
8
0
27 Jul 2023
vox2vec: A Framework for Self-supervised Contrastive Learning of
  Voxel-level Representations in Medical Images
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
M. Goncharov
Vera Soboleva
Anvar Kurmukov
Maxim Pisov
Mikhail Belyaev
SSL
69
10
0
27 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
72
14
0
27 Jul 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
Moon Ye-Bin
Jisoo Kim
Hong-Kyu Kim
Kilho Son
Tae-Hyun Oh
77
9
0
27 Jul 2023
Enhancing image captioning with depth information using a
  Transformer-based framework
Enhancing image captioning with depth information using a Transformer-based framework
Aya Mahmoud Ahmed
Mohamed Yousef
K. Hussain
Yousef B. Mahdy
ViT
69
4
0
24 Jul 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard
  Skeleton Mining for Unsupervised Person Re-Identification
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
Haocong Rao
Cyril Leung
Steven C. H. Hoi
3DH
94
8
0
24 Jul 2023
Multiscale Video Pretraining for Long-Term Activity Forecasting
Multiscale Video Pretraining for Long-Term Activity Forecasting
Reuben Tan
Matthias De Lange
Michael L. Iuzzolino
Bryan A. Plummer
Kate Saenko
Karl Ridgeway
Lorenzo Torresani
AI4TS
105
6
0
24 Jul 2023
Multi-View Vertebra Localization and Identification from CT Images
Multi-View Vertebra Localization and Identification from CT Images
Han Wu
Jiadong Zhang
Yu Fang
Zhentao Liu
Ni-zhuan Wang
Zhiming Cui
Dinggang Shen
45
9
0
24 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
104
27
0
24 Jul 2023
PRIOR: Prototype Representation Joint Learning from Medical Images and
  Reports
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Pujin Cheng
Li Lin
Junyan Lyu
Yijin Huang
Wenhan Luo
Xiaoying Tang
MedIm
134
51
0
24 Jul 2023
Downstream-agnostic Adversarial Examples
Downstream-agnostic Adversarial Examples
Ziqi Zhou
Shengshan Hu
Rui-Qing Zhao
Qian Wang
L. Zhang
Junhui Hou
Hai Jin
SILMAAML
88
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0
23 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
97
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Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic
  Data
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
79
1
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Bone mineral density estimation from a plain X-ray image by learning
  decomposition into projections of bone-segmented computed tomography
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Yidong Gu
Yoshito Otake
Keisuke Uemura
Mazen Soufi
Masaki Takao
Hugues Talbot
S. Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
45
10
0
21 Jul 2023
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li
Jie Wu
Xionghui Wang
Chen Chen
Jie Qin
Xu Xiao
Rui Wang
Min Zheng
Xin Pan
ObjDVLM
79
18
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Cluster-aware Semi-supervised Learning: Relational Knowledge
  Distillation Provably Learns Clustering
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Yijun Dong
Kevin Miller
Qiuyu Lei
Rachel A. Ward
58
4
0
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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time
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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu
P. Chandak
Ridwan Alam
John Guttag
Collin M. Stultz
AI4TS
73
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Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging
  Analysis
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan
Yi Fang
73
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0
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The Role of Entropy and Reconstruction in Multi-View Self-Supervised
  Learning
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
Borja Rodríguez Gálvez
Arno Blaas
P. Rodríguez
Adam Goliñski
Xavier Suau
Jason Ramapuram
Dan Busbridge
Luca Zappella
82
7
0
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Identifying Interpretable Subspaces in Image Representations
Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat
S. Bhardwaj
Bayan Bruss
Hamed Firooz
Maziar Sanjabi
Soheil Feizi
FAtt
106
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Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition:
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Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study
Ke Xu
Jiangtao Wang
Erik Cambria
Dingchang Zheng
71
6
0
19 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSLViT
61
3
0
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Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles
Connor T. Lee
Jonathan Gustafsson Frennert
L. Gan
M. Anderson
Soon-Jo Chung
60
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Towards Task Sampler Learning for Meta-Learning
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Wenwen Qiang
Jingyao Wang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
108
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Systematic comparison of semi-supervised and self-supervised learning
  for medical image classification
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
Zhe Huang
Ruijie Jiang
Shuchin Aeron
M. C. Hughes
SSLOOD
101
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Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Changwen Zheng
Xingzhe Su
Wenwen Qiang
Jingyao Wang
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Gang Hua
107
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Diffusion Models Beat GANs on Image Classification
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M. Gwilliam
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Namitha Padmanabhan
A. Swaminathan
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Abhinav Shrivastava
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