Anomaly Detection

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40 papers in the last four weeks, up 33% on the four weeks before. 0.4% of all new papers.

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  1. MATCH: Flow Matching for Multi-View Anomaly Detection

    Jun 23, 2026Mathis Kruse, Melissa Schween, Bodo RosenhahnIndustrial Anomaly DetectionAnomaly Localization

    Institute for Information Processing, L3S, Leibniz University Hannover, Germany

  2. Lightweight Transformer Models for On-Device Fault Detection: A Benchmark Study on Resource-Constrained Deployment

    Jun 23, 2026Disha PatelEfficient Transformer InferenceAdaptive Inference

    Department of Computer Science California State University, Fullerton

  3. Machine Learning Modeling for Real-Time Melt Pool Monitoring in Laser Powder Bed Fusion Additive Manufacturing: A Hybrid Approach

    Jun 22, 2026Inioluwa Emmanuel, Zhuo Yang, Ho Yeung +1Industrial Anomaly DetectionTransfer Learning

    Industrial and Manufacturing Engineering Florida State University Tallahassee, FL · National Institute of Standards and Technology Gaithersburg, Maryland

  4. Real-Time Multimodal Activity-Aware Error Detection in Robot-Assisted Surgery

    Jun 22, 2026Seyed Hamid Reza Roodabeh, Zongyu Li, Homa AlemzadehSurgical RoboticsMultimodal Sensor Fusion

    Electrical and Computer Engineering Department, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States of America

  5. Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy

    Jun 22, 2026Yifan WangSparse Identification of Nonlinear DynamicsModel Misspecification

    Department of Mechanical Engineering, McGill University, QC, H3A 2T7, Canada

  6. DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

    Jun 22, 2026Sudhanshu Mishra, Jialang Xu, Jensen Ang +3Surgical Video UnderstandingVideo Frame Selection

    Department of Electrical and Computer Engineering, National University of Singapore, Singapore · UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom · Department of Neurosurgery, National Neuroscience Institute, Singapore +1

  7. Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text

    Jun 22, 2026Shreyash RawatClusteringComputational Social Science

    Independent Researcher · Redmond, WA, USA

  8. From CVE to CWE: Syscall-Based HIDS Generalisation

    Jun 21, 2026Alexander V. Kozachok, Stanislav G. Vyugov, Shamil G. MagomedovCybersecurityOne-Class Classification

    MIREA – Russian Technological University, Moscow, Russian Federation · Academy of the Federal Guard Service of the Russian Federation, Oryol, Russian Federation

  9. Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection

    Jun 20, 2026Weizhi Nie, Weichao Liu, Weijie Wang +1Few-Shot Anomaly DetectionWorld Model Learning

    Tianjin University

  10. Continuous Behavioral Authentication via Multi-Expert BERT Log Analysis for Secure Data Sharing

    Jun 20, 2026Stergios Lantzos, Ilias Syrigos, Apostolos Apostolaras +1Anomaly Detection

    Dept. of Electrical and Computer Engineering, University of Thessaly, Greece

  11. Reliability-Aware Prototype Calibration for Frozen Pose-Flow Video Anomaly Detection

    Jun 18, 2026Ning Dong, Yingna Su, Xin Dong +3Post-Hoc CalibrationVideo Anomaly Detection

    School of Information Engineering Suqian University Suqian, China · School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu, China · Institute for Advanced Studies Universiti Malaya Kuala Lumpur, Malaysia

  12. CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection

    Jun 18, 2026Junhao Cai, Junyu Chen, Deyu Zeng +4Few-Shot Anomaly DetectionMultimodal Anomaly Detection

    Shenzhen University, Shenzhen, Guangdong 518060, China · Guangzhou Maritime University, Guangzhou, Guangdong 510725, China · Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong 511453, China

  13. UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection

    Jun 18, 2026Changyi Li, Chao Yang, Yu Xiao +1Industrial Anomaly DetectionAnomaly Detection

  14. Scoring Backends Matter More Than Pooling: A Systematic Study of Training-Free Anomalous Sound Detection under Domain Shift

    Jun 17, 2026Jingwen Zhou, Mingzhe WangDistribution ShiftUnsupervised Anomaly Detection

    Xidian University, Xi’an, China

  15. Toward Training-Free Zero-Shot Anomaly Detection in 3D Medical Images: A Batch-Based Approach Using 2D Foundation Models

    Jun 17, 2026Tai Le-GiaMedical Image Anomaly DetectionZero-Shot Anomaly Detection

    Department of Mathematics, Chungnam National University, Daejeon, Republic of Korea

  16. Towards Anomaly Detection on Relational Data

    Jun 17, 2026Shiyuan Li, Yunfeng Zhao, Yue Tan +3Reconstruction-Based Anomaly DetectionRelational Databases

    Griffith University · Guangxi University

  17. A Neuromorphic Trigger for Efficient Audio Event Detection

    Jun 16, 2026Benjamin Hatton, Oliver Rhodes, Luca PeresEfficient Neural Network InferenceSpiking Neural Networks

    ICNS, University of Manchester Manchester, UK

  18. LADBench: A Benchmark for Logical Fault Detection in Images

    Jun 16, 2026Sahasra Kondapalli, Lara Radovanovic, Aadi Palnitkar +2VLM EvaluationMultimodal Reasoning

    Embodied Robotics and Automation Lab, University of South Florida, Tampa, FL 33610, USA.

  19. PATCH: Action-Chunk-Conditioned Latent Patch Innovation Monitoring for Robot Manipulation

    Jun 15, 2026Yanan Zhou, Ranpeng Qiu, Yincong Chen +2Robotic ManipulationRuntime Assurance

    School of Computer Science, The University of Sydney. · Australian Centre For Robotics, The University of Sydney.

  20. IBAD: Interpretable Behavioral Anomaly Detection on Human Mobility Data

    Jun 14, 2026Bita Azarijoo, John Krumm, Cyrus ShahabiInterpretable Anomaly DetectionAnomaly Detection

    University of Southern California Los Angeles, California, USA

  21. Early Anomaly-Onset Detection based on Wigner--Ville Distribution Slice Spectra: A Transmission-Grid Test Case

    Jun 14, 2026Eduardo Jr Piedad, Eduardo Prieto-Araujo, Oriol Gomis-BellmuntOnline Anomaly DetectionAnomaly Detection

    DOST–Advanced Science and Technology Institute, Quezon City 1101 Philippines · Universitat Politècnica de Catalunya, 08034 Barcelona, Spain

  22. Rethinking Structural Anomaly Detection: From Decision Boundaries to Projection Operators

    Jun 13, 2026Alexander BauerReconstruction-Based Anomaly DetectionAnomaly Detection

    Machine Learning Group, TU Berlin · BIFOLD, Berlin, Germany

  23. Controlled Dynamics Attractor Transformer

    Jun 13, 2026Cheng Zhang, Minnan Luo, Zesheng Yang +3Energy-Based ModelsGraph Classification

    School of Computer Science and Technology, MOEK-LINNS Lab, Xi’an Jiaotong University, Xi’an, Shaanxi, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  24. False Sense of Safety in Selective Signal Classification: Auditing Bound Tightness and Exchangeability for Risk Control

    Jun 13, 2026Jingwen Zhou, Mingzhe WangSelective PredictionAnomaly Detection

    Xidian University, Xi’an, China

  25. The Risk Shadow of Principal Component Analysis: When 99.9999% Variance Preservation Causes Catastrophic Decision Errors

    Jun 12, 2026Hamidou TembinePrincipal Component AnalysisDimensionality Reduction

    Department of EECS, School of Engineering, UQTR, Canada. Learning and Game Theory Laboratory (LnG Lab), TIMADIE.

  26. Value-order Decomposition for Generalist Anomaly Detection

    Jun 12, 2026Miaoyun Zhao, Jing Chen, Miaoni Zhao +1Industrial Anomaly DetectionRepresentation Disentanglement

    Dalian University of Technology · Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education, Dalian, China · Xi’an Chang’an Vanke City Primary School

  27. Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection

    Jun 12, 2026Jiaen Lv, Leran Qi, Shaowei WangIrregular Time-Series ModelingPrototype Learning

    School of Electronic Science and Engineering, Nanjing University, Nanjing, China.

  28. BoRAD: Bootstrap your Own Representations for Multi-class Anomaly Detection

    Jun 12, 2026Duy Hoang Khuong, Tri Nguyen Minh, Ngu Huynh Cong VietRepresentation LearningIndustrial Anomaly Detection

    Department of Artificial Intelligence FPT University Ho Chi Minh City, Vietnam · Department of IT FPT University Ho Chi Minh City, Vietnam · Department of Computing Fundamental FPT University Ho Chi Minh City, Vietnam

  29. Conformal calibration and look-elsewhere effect in anomaly detection for new-physics searches

    Jun 11, 2026Jack Y. Araz, Michael SpannowskyPost-Hoc CalibrationConformal Prediction

    Department of Physics and Astronomy, University College London, London, WC1E 6B, UK · Department of Engineering, City St. George’s, University of London, London, EC1V 0HB, UK · Institute for Theoretical Physics, Campus Süd, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe, Germany +1

  30. D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection

    Jun 11, 2026Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3Hyperdimensional ComputingAnomaly Detection

    Wright State University, Dayton, Ohio 45435, USA · Azad University, Ahvaz 6887561349, Iran · Stevens Institute of Technology, Hoboken, New Jersey 07030, USA +1