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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
Shifting Focus: From Global Semantics to Local Prominent Features in
  Swin-Transformer for Knee Osteoarthritis Severity Assessment
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
Aymen Sekhri
Marouane Tliba
M. A. Kerkouri
Yassine Nasser
Aladine Chetouani
Alessandro Bruno
Rachid Jennane
62
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
3DPCSSL
134
17
0
14 Mar 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim
Hyeongkeun Lee
Kyeongha Rho
Junmo Kim
Joon Son Chung
59
6
0
14 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained
  Detectors
Efficient Transferability Assessment for Selection of Pre-trained Detectors
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
79
0
0
14 Mar 2024
When can we Approximate Wide Contrastive Models with Neural Tangent
  Kernels and Principal Component Analysis?
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil
Pascal Esser
Debarghya Ghoshdastidar
81
1
0
13 Mar 2024
VANP: Learning Where to See for Navigation with Self-Supervised
  Vision-Action Pre-Training
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri
Junzhe Wang
Amirreza Payandeh
Xuesu Xiao
SSLViT
101
8
0
12 Mar 2024
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive
  Self-Supervised Transformers
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
Shahaf Arica
Or Rubin
Sapir Gershov
S. Laufer
72
7
0
12 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain
  Generalisation
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Anastasios Arsenos
D. Kollias
Evangelos Petrongonas
Christos Skliros
Stefanos D. Kollias
76
14
0
12 Mar 2024
Spatiotemporal Representation Learning for Short and Long Medical Image
  Time Series
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
Chengzhi Shen
Martin J. Menten
Hrvoje Bogunović
U. Schmidt-Erfurth
H. Scholl
S. Sivaprasad
A. Lotery
Daniel Rueckert
Paul Hager
Robbie Holland
70
2
0
12 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
73
1
0
12 Mar 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time
  Clinical Knowledge Enhancement
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
Che Liu
Zhongwei Wan
Ouyang Cheng
Anand Shah
Wenjia Bai
Rossella Arcucci
90
33
0
11 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute
  Classification
Distributionally Generative Augmentation for Fair Facial Attribute Classification
Fengda Zhang
Qianpei He
Kun Kuang
Jiashuo Liu
Long Chen
Chao-Xiang Wu
Jun Xiao
Hanwang Zhang
CVBM
67
8
0
11 Mar 2024
OMH: Structured Sparsity via Optimally Matched Hierarchy for
  Unsupervised Semantic Segmentation
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
Baran Ozaydin
Tong Zhang
Deblina Bhattacharjee
Sabine Süsstrunk
Mathieu Salzmann
75
1
0
11 Mar 2024
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
Yuting Zhang
Haobo Lu
Xin Liu
Ying-Cong Chen
Kaishun Wu
82
7
0
11 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
224
3
0
11 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles
Ismail Elezi
Jiankang Deng
112
10
0
10 Mar 2024
Can Generative Models Improve Self-Supervised Representation Learning?
Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou
Arash Afkanpour
Vahid Reza Khazaie
Fereshteh Forghani
87
3
0
09 Mar 2024
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous
  Driving
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Junyi Cao
Zhichao Li
Naiyan Wang
Chao Ma
92
8
0
09 Mar 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide
  Image Classification
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Tingting Zheng
Kui Jiang
Hongxun Yao
113
4
0
09 Mar 2024
Automating Catheterization Labs with Real-Time Perception
Automating Catheterization Labs with Real-Time Perception
Fan Yang
Benjamin Planche
Meng Zheng
Chen Chen
Terrence Chen
Ziyan Wu
85
0
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
Neha Kalibhat
...
Philip Mansfield
Renan A. Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
SSL
77
12
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
VLMSSL
79
4
0
08 Mar 2024
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked
  Context Modelling and Knowledge Distillation
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation
Juan Pisula
Katarzyna Bozek
66
2
0
08 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
91
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
85
4
0
06 Mar 2024
Contrastive Learning of Person-independent Representations for Facial
  Action Unit Detection
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
Yong Li
Shiguang Shan
133
10
0
06 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
144
12
0
06 Mar 2024
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
Meng Zheng
Benjamin Planche
Xuan Gong
Fan Yang
Terrence Chen
Ziyan Wu
3DH
79
5
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
93
11
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
127
0
0
04 Mar 2024
Superpixel Graph Contrastive Clustering with Semantic-Invariant
  Augmentations for Hyperspectral Images
Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images
Jianhan Qi
Yuheng Jia
Hui Liu
Junhui Hou
106
3
0
04 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced
  Feature-Level Contrastive Learning
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
75
7
0
04 Mar 2024
Self-Supervised Representation Learning with Meta Comprehensive
  Regularization
Self-Supervised Representation Learning with Meta Comprehensive Regularization
Huijie Guo
Ying Ba
Jie Hu
Hui Xiong
Jingyao Wang
Lei Shi
SSL
86
5
0
03 Mar 2024
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
Guangrun Wang
Changlin Li
Liuchun Yuan
Jiefeng Peng
Xiaoyu Xian
Xiaodan Liang
Xiaojun Chang
Liang Lin
127
1
0
02 Mar 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning
  Diverse Responses
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
Weihao Zeng
Keqing He
Yejie Wang
Dayuan Fu
Weiran Xu
72
0
0
02 Mar 2024
Rethinking The Uniformity Metric in Self-Supervised Learning
Rethinking The Uniformity Metric in Self-Supervised Learning
Xianghong Fang
Jian Li
Qiang Sun
Benyou Wang
SSL
39
0
0
01 Mar 2024
EfficientZero V2: Mastering Discrete and Continuous Control with Limited
  Data
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
Shengjie Wang
Shaohuai Liu
Weirui Ye
Jiacheng You
Yang Gao
OffRL
99
15
0
01 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
105
30
0
01 Mar 2024
Time-bound Contextual Bio-ID Generation for Minimalist Wearables
Time-bound Contextual Bio-ID Generation for Minimalist Wearables
Adiba Orzikulova
Diana A. Vasile
F. Kawsar
Chulhong Min
53
1
0
01 Mar 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity
  for Abstract Visual Reasoning
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Ruiqian Nai
Zixin Wen
Ji Li
Yuanzhi Li
Yang Gao
96
2
0
01 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
168
25
0
01 Mar 2024
BigGait: Learning Gait Representation You Want by Large Vision Models
BigGait: Learning Gait Representation You Want by Large Vision Models
Dingqiang Ye
Chao Fan
Jingzhe Ma
Xiaoming Liu
Shiqi Yu
CVBMSLR
130
22
0
29 Feb 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
VideoMAC: Video Masked Autoencoders Meet ConvNets
Gensheng Pei
Tao Chen
XiRuo Jiang
Huafeng Liu
Zeren Sun
Yazhou Yao
VGen
108
10
0
29 Feb 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics
  Aware Rewards
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
Katherine Metcalf
Miguel Sarabia
Natalie Mackraz
B. Theobald
76
6
0
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LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
Shentong Mo
Yansen Wang
Xufang Luo
Dongsheng Li
VLM
97
2
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SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion
  Classification Using 3D Multi-Phase Imaging
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging
Meng Lou
Hanning Ying
Xiaoqing Liu
Hong-Yu Zhou
Yuqing Zhang
Yizhou Yu
MedIm
100
12
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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
120
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The Common Stability Mechanism behind most Self-Supervised Learning
  Approaches
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Abhishek Jha
Matthew B. Blaschko
Yuki M. Asano
Tinne Tuytelaars
SSL
38
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Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
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Futa Waseda
Ching-Chun Chang
Isao Echizen
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143
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Robust Training of Federated Models with Extremely Label Deficiency
Robust Training of Federated Models with Extremely Label Deficiency
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Zhiqin Yang
Xinmei Tian
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Tongliang Liu
Bo Han
FedML
115
6
0
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