Self-Supervised Visual Representation Learning

Ask about this topic

Momentum

20 papers in the last four weeks, up 100% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 151

All topics
CardsList

  1. Motion-Saliency Complementary Masked Modeling for Point Cloud Video Understanding

    Aug 31, 2026Wei Wang, Yiding Sun, Yuyan Wang +4Point Cloud LearningGenerative Modeling

    School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518107, China · School of Software Engineering, Xi’an Jiaotong University, Xi’an, 710049, China +4

  2. DINOcular: Self-Supervised Visuospatial Representations

    Aug 27, 2026Farkhat Almukhamedov, Sami Azirar, Hermann BlumVisual Representation LearningGeometric Representation Learning

    Robot Perception and Learning Lab University of Bonn & Lamarr Institute

  3. RIPE++: Reinforced Keypoint Learning from Positive Pairs Only

    Aug 20, 2026Johannes Künzel, Peter Eisert, Anna HilsmannRepresentation LearningReinforcement Learning

    Fraunhofer Heinrich-Hertz-Institute, HHI, Germany · Humboldt University Berlin, Germany

  4. A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources

    Aug 13, 2026Brunó B. Englert, Gijs DubbelmanVision Foundation ModelsSelf-Supervised Pre-Training

    Eindhoven University of Technology

  5. SAR2Agri: Learning SAR Intensity Representations for Agricultural Monitoring

    Aug 11, 2026Moti Rattan Gupta, Anupam SobtiRepresentation LearningAgricultural Remote Sensing

    Plaksha University, Mohali, Punjab, India

  6. Fourier Self-Supervision for Fine-Grained Generalized Category Discovery

    Aug 9, 2026Sarah Rastegar, Mina Ghadimi Atigh, Pascal Mettes +2Frequency-Domain Feature LearningFine-Grained Image Classification

    University of Amsterdam · University of Technology Nuremberg

  7. Three Necessary Principles for Self-Supervised Visual Representation Learning

    Aug 8, 2026Nikos Giakoumoglou, Paschalis Giakoumoglou, Tania StathakiContrastive LearningRepresentation Collapse

    Imperial College London · CERTH, ITI

  8. UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling

    Aug 7, 2026An Lanji, Dawei Liu, Jin Li +3World Model LearningJoint-Embedding Predictive Architecture

    University of Electronic Science and Technology of China, Chengdu, China.

  9. Learning visual representations for compositional analysis of artworks and photographs

    Aug 6, 2026Fatemeh Behrad, Tinne Tuytelaars, Johan WagemansVisual Representation LearningCompositional Representation Learning

    KU Leuven University Belgium

  10. Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining

    Aug 4, 2026Yang Bai, Linyuan Wang, Haoyang Jiang +3Vision TransformerEfficient ViTs

    Information Engineering University, ZhengZhou,China

  11. Self-supervised DXA representations encode multi-system disease risk, biological aging and heritability

    Aug 3, 2026Gil Sasson, Zachary Levine, Smadar Shilo +9Medical ImagingMedical Image Representation Learning

    Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. · Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel-Aviv, Israel. · The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel. +5

  12. Physics-Aligned Self-Supervised Learning for Scientific Imaging

    Jul 30, 2026Bashir Kazimi, Stefan SandfeldData AugmentationScientific ML

    Institute for Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany · Chair of Materials Data Science and Materials Informatics, Faculty 5 – Georesources and Materials Engineering, RWTH Aachen University, 52056, Aachen, Germany

  13. OrganLens: Organ-Specific Representation Learning for CT Foundation Models

    Jul 28, 2026Zhixuan Ge, Anqi Li, Sadeer Al-Kindi +2Medical Imaging Foundation ModelsRepresentation Learning

    Rice University Houston, Texas, USA · Department of Cardiology DeBakey Heart and Vascular Center Houston, Texas, USA · University of Washington Seattle, Washington, USA

  14. A Scale-adaptive Vision Model Links C. elegans Neuronal Morphology to Behavior for Neurotoxicity Assessment

    Jul 25, 2026Haochao Ying, Shenchong Lv, Yutao Sun +8Vision Foundation ModelsToxicity Detection

    School of Public Health and Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China. · State Key Laboratory of Transvascular Implantation Devices and TIDRI, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China. · Polytechnic Institute, Zhejiang University, Hangzhou, 310058, China. +5

  15. Self-Supervised Learning of Structured Dynamics from Videos

    Jul 23, 2026Lukas Knobel, Andrew Zisserman, Yuki M. AsanoVideo Representation LearningSelf-Supervised Visual Representation Learning

    Fundamental AI Lab, UTN · VGG, University of Oxford

  16. scMIR: a vision-language foundation model for single-cell light microscopy image representation

    Jul 21, 2026Yifan Shang, Jiahui Tan, Xiangxiang Zeng +1Cross-Modal Representation LearningVisual Representation Learning

    Laser Metrology and Biomedicine Lab, Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China · State Key Laboratory of Chemo and Biosensing, College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China

  17. Emergent Region-Level Facial Correspondence in Frozen Vision Foundation Models

    Jul 15, 2026Izaldein Al-Zyoud, Abdulmotaleb El SaddikSemantic CorrespondenceVision Foundation Models

    MCRLab, School of Electrical Engineering and Computer Science University of Ottawa, Ottawa, ON, Canada

  18. Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training?

    Jul 14, 2026Nusrat Munia, Tyler Ward, Nishat Nayla +2Supervised Fine-TuningSemi-Supervised Learning

    Department of Computer Science University of Kentucky Lexington, KY 40506, USA · Kentucky Geological Survey University of Kentucky Lexington, KY 40506, USA

  19. A Masked Autoencoder Approach to Unsupervised Steel Surface Defect Recognition

    Jul 14, 2026Shrey PatelMasked AutoencodersIndustrial Anomaly Detection

    University of Maryland, College Park · United States of America

  20. Joint-Embedding Predictive Architecture for Solar PV Panel Fault Classification

    Jul 10, 2026Seyyedhamid Azimidokht, Mehdi Monemi, Abdelhak Kharbouch +4Thermal ImagingJoint-Embedding Predictive Architecture

    University of Oulu, Oulu, Finland · Central Queensland University, Australia

  21. Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models

    Jul 8, 2026Sergi Masip, Alicja Dobrzeniecka, Jonathan Swinnen +4Self-Supervised LearningSelf-Supervised Visual Representation Learning

    PSI, KU Leuven, Leuven, Belgium · NASK - National Research Institute, Warsaw, Poland · Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain +1

  22. `Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation

    Jul 8, 2026Waqas Arshid, Mohammad Awrangjeb, Alan Wee-Chung Liew +1Video Object SegmentationSelf-Supervised Learning

    School of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia. · School of Engineering and Built Environment – Electrical and Electronic Engineering, Griffith University, Brisbane, QLD, Australia.

  23. Converge to Surprise: Evolutionary Self-supervised Image Clustering

    Jul 8, 2026Canlin Zhang, Xiuwen LiuUnsupervised LearningSelf-Supervised Learning

    Independent Researcher · Department of Computer Science Florida State University

  24. Breaking Spurious Correlations via Generative Randomization and Cross-Variant Self-Supervised Learning

    Jul 7, 2026Suraj Yadav, Anjaneya Sharma, Siddharth YadavContrastive LearningOOD Generalization

    Indraprastha Institute of Information Technology Delhi

  25. Vision Pretraining for Dense Spatial Perception

    Jul 6, 2026Zelin Fu, Bin Tan, Changjiang Sun +6Depth EstimationSelf-Supervised Visual Representation Learning

  26. Probing Geospatial SSL Representations with Environmental Signals

    Jul 6, 2026Rohita Mocharla, Vishal M. PatelRepresentation GeometryGeospatial Representation Learning

    Johns Hopkins Applied Physics Laboratory · Johns Hopkins University · Laurel, MD +1

  27. HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy

    Jul 5, 2026Julius Riel, Vishwa Mohan Singh, Sai Anirudh Aryasomayajula +10Contrastive LearningHierarchical Representation Learning

    TUM.ai, Munich, Germany · Ludwig-Maximilian-University, Munich, Germany · Technical University of Munich, Munich, Germany +6

  28. Mask-based Predictive Representations for Reinforcement Learning

    Jul 5, 2026Kai ZhaoRepresentation LearningPredictive Representation Learning

    School of Systems Science, Beijing Normal University · Beijing, China

  29. SiamJEPA: On the Role of Siamese Student Encoders in JEPA

    Jul 4, 2026Makoto YamadaJoint-Embedding Predictive ArchitectureSiamese Neural Networks

    Okinawa Institute of Science and Technology

  30. Mask-supervised Object-centric Representation Learning with LeJEPA

    Jul 2, 2026Jakob Geusen, Ender KonukogluContrastive LearningRepresentation Learning

    Biomedical Image Computing Group, ETH Zurich