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Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

Computer Vision and Pattern Recognition (CVPR), 2020
20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,512 papers shown
DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
Chao-Hong Tan
Qian Chen
Wen Wang
Chong Deng
Qinglin Zhang
...
Yafeng Chen
Hui Wang
Jiaqing Liu
Jieping Ye
Jieping Ye
AuLLM
275
0
0
24 Dec 2025
Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
Phuc Pham
Nhu Pham
Ngoc Quoc Ly
VLM
153
0
0
02 Dec 2025
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
Chenshuang Zhang
Kang Zhang
Joon Son Chung
In So Kweon
Junmo Kim
Chengzhi Mao
DiffM
234
0
0
02 Dec 2025
SARL: Spatially-Aware Self-Supervised Representation Learning for Visuo-Tactile Perception
Gurmeher Khurana
Lan Wei
Dandan Zhang
183
0
0
01 Dec 2025
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning FrameworkIEEE transactions on multimedia (TMM), 2025
Haojin Deng
Yimin Yang
69
0
0
01 Dec 2025
Silhouette-based Gait Foundation Model
Dingqiang Ye
Chao Fan
Kartik Narayan
Bingzhe Wu
Chengwen Luo
Jianqiang Li
Vishal M. Patel
63
0
0
30 Nov 2025
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
An Yang
Chenyu Liu
Jun Du
J. Gao
Jia Pan
Jinshui Hu
Baocai Yin
Bing Yin
Cong Liu
3DGS
74
0
0
30 Nov 2025
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li
Yuheng Jia
Hui Liu
Junhui Hou
100
0
0
26 Nov 2025
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
Yuxuan Zhu
Cong Fu
Yabo Ni
Anxiang Zeng
Yuan Fang
OOD
350
0
0
26 Nov 2025
Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
Baoli Sun
Y. X. R. Wang
Xinzhu Ma
Zhihui Wang
Kun Lu
Zhiyong Wang
190
0
0
26 Nov 2025
Pre-train to Gain: Robust Learning Without Clean Labels
Pre-train to Gain: Robust Learning Without Clean Labels
David Szczecina
Nicholas Pellegrino
Paul Fieguth
NoLa
285
0
0
25 Nov 2025
Scale What Counts, Mask What Matters: Evaluating Foundation Models for Zero-Shot Cross-Domain Wi-Fi Sensing
Scale What Counts, Mask What Matters: Evaluating Foundation Models for Zero-Shot Cross-Domain Wi-Fi Sensing
Cheng Jiang
Yihe Yan
Yanxiang Wang
Chun Tung Chou
Wen Hu
108
0
0
24 Nov 2025
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
Alexander Hsu
Ike Griss Salas
Jacob Stevens-Haas
J. Nathan Kutz
Aleksandr Aravkin
Bamdad Hosseini
80
0
0
23 Nov 2025
DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture
DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture
Xiangteng He
Shunsuke Sakai
Kun Yuan
N. Padoy
Tatsuhito Hasegawa
Leonid Sigal
AI4TS
310
0
0
21 Nov 2025
GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
Yanchen Xu
Ziheng Jiao
H. Zhang
Xuelong Li
313
0
0
19 Nov 2025
Esim: EVM Bytecode Similarity Detection Based on Stable-Semantic Graph
Esim: EVM Bytecode Similarity Detection Based on Stable-Semantic Graph
Zhuo Chen
Gaoqiang Ji
Yiling He
Lei Wu
Yajin Zhou
95
0
0
17 Nov 2025
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
Xi Xiao
Zhuxuanzi Wang
Mingqiao Mo
Chen Liu
Chenrui Ma
Yanshu Li
Smita Krishnaswamy
Xiao Wang
Tianyang Wang
139
1
0
16 Nov 2025
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models
Michael Chen
Raghav Kansal
A. Gandrakota
Zichun Hao
J. Ngadiuba
M. Spiropulu
DiffM
149
0
0
16 Nov 2025
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu
Qiang Sun
Yi Yang
99
0
0
15 Nov 2025
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
Zhongle Ren
Hui Ding
Kai Wang
B. Hou
Xingyu Luo
Weibin Li
Licheng Jiao
156
0
0
11 Nov 2025
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Manh Trong Nguyen
Sunil R. Gupta
Hung Le
166
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0
10 Nov 2025
FlowFeat: Pixel-Dense Embedding of Motion Profiles
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov
Anna Sonnweber
Daniel Cremers
MDE
355
1
0
10 Nov 2025
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
Xiaodong Wang
Jing Huang
Kevin J. Liang
SSL
449
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0
07 Nov 2025
Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning
Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning
Botong.Zhao
Xubin.Wang
Shujing.Lyu
Yue.Lu
90
0
0
05 Nov 2025
Probabilistic Graph Cuts
Probabilistic Graph Cuts
Ayoub Ghriss
142
0
0
04 Nov 2025
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
Dakota Hester
Vitor S. Martins
Lucas B. Ferreira
Thainara M. A. Lima
SSL
368
0
0
04 Nov 2025
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
Jaebyeong Jeon
Hyeonseo Jang
Jy-yong Sohn
Kibok Lee
119
0
0
31 Oct 2025
Consistency Training Helps Stop Sycophancy and Jailbreaks
Consistency Training Helps Stop Sycophancy and Jailbreaks
Alex Irpan
Alexander Matt Turner
Mark Kurzeja
David Elson
Rohin Shah
236
0
0
31 Oct 2025
ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning
ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning
Samarup Bhattacharya
Anubhab Bhattacharya
Abir Chakraborty
AAML
131
0
0
31 Oct 2025
Barlow Twins for Sequential Recommendation
Barlow Twins for Sequential Recommendation
Ivan Razvorotnev
Marina Munkhoeva
Evgeny Frolov
86
0
0
30 Oct 2025
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
Antonin Gagnere
S. Essid
Geoffroy Peeters
SSL
357
0
0
29 Oct 2025
Eigenfunction Extraction for Ordered Representation Learning
Eigenfunction Extraction for Ordered Representation Learning
Burak Varıcı
Che-Ping Tsai
Ritabrata Ray
Nicholas M. Boffi
Pradeep Ravikumar
117
0
0
28 Oct 2025
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq
David Loiseaux
Vicky Kalogeiton
S. Oudot
138
0
0
27 Oct 2025
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
B. U. Demirel
Christian Holz
AI4TSSSL
266
0
0
26 Oct 2025
Mutual Information guided Visual Contrastive Learning
Mutual Information guided Visual Contrastive Learning
Hanyang Chen
Yanchao Yang
SSL
311
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0
26 Oct 2025
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation LearningIEEE Signal Processing Letters (IEEE SPL), 2025
Ali Javidani
Babak N. Araabi
Mohammad Amin Sadeghi
SSL
241
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0
25 Oct 2025
Scaling Non-Parametric Sampling with Representation
Scaling Non-Parametric Sampling with Representation
Vincent Lu
Aaron Truong
Zeyu Yun
Yubei Chen
DiffM
128
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0
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Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Jialu Tang
Hung Manh Pham
Ignace De Lathauwer
Henk S. Schipper
Yuan Lu
Dong Ma
Aaqib Saeed
92
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0
24 Oct 2025
Resounding Acoustic Fields with Reciprocity
Resounding Acoustic Fields with Reciprocity
Zitong Lan
Yiduo Hao
Mingmin Zhao
99
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0
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Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga
Marius Aasan
Rwiddhi Chakraborty
Martine Hjelkrem-Tan
T. Silva
Michael C. Kampffmeyer
Adín Ramirez Rivera
126
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0
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CytoNet: A Foundation Model for the Human Cerebral Cortex
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Christian Schiffer
Zeynep Boztoprak
Jan-Oliver Kropp
Julia Thönnißen
Katia Berr
H. Spitzer
Katrin Amunts
Timo Dickscheid
69
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0
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One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
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Jia Guo
Shuai Lu
Lei Fan
Zelin Li
Donglin Di
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Wenbing Zhu
Hong Yan
Fang Chen
Huiqi Li
H. Liao
259
2
0
20 Oct 2025
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
167
1
0
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Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
Connecting Domains and Contrasting Samples: A Ladder for Domain GeneralizationKnowledge Discovery and Data Mining (KDD), 2025
Tianxin Wei
Yifan Chen
Xinrui He
Wenxuan Bao
Jingrui He
151
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RL makes MLLMs see better than SFT
RL makes MLLMs see better than SFT
Junha Song
Sangdoo Yun
Dongyoon Han
Jaegul Choo
Byeongho Heo
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193
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0
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Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng
Jiayuan Zhang
Yuhang Wu
Ting Chen
Shi Gu
173
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0
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There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
Jiachen Lei
Keli Liu
Julius Berner
Haiming Yu
Hongkai Zheng
Jiahong Wu
Xiangxiang Chu
DiffM
261
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MultiFoodhat: A potential new paradigm for intelligent food quality inspection
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Yue Hu
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149
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Ego-Vision World Model for Humanoid Contact Planning
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Hang Liu
Yuman Gao
Sangli Teng
Yufeng Chi
Yakun Sophia Shao
Zhongyu Li
Maani Ghaffari
Koushil Sreenath
111
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Understanding Self-supervised Contrastive Learning through Supervised Objectives
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Byeongchan Lee
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208
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