Reconstruction-Based Anomaly Detection

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22 papers in the last four weeks, up 267% on the four weeks before. 0.1% of all new papers.

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  1. Beyond Reconstruction: Reconstruction-to-Vector Diffusion for Hyperspectral Anomaly Detection

    Apr 13, 2026Jijun Xiang, Tao Wang, Jiayi Wang +3Anomaly DetectionHyperspectral Imaging

    Rocket Force University of Engineering, Xi’an 710025, China

  2. Multimodal Anomaly Detection for Human-Robot Interaction

    Apr 10, 2026Guilherme Ribeiro, Iordanis Antypas, Leonardo Bizzaro +2Multimodal Anomaly DetectionReconstruction-Based Anomaly Detection

    LASIGE, Faculty of Sciences, U. Lisboa, Portugal · Dep. of Information Engineering, University of Padova, Padova, Italy

  3. Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection

    Apr 9, 2026Agathe Senellart, Maëlys Solal, Stéphanie Allassonnière +1Reconstruction-Based Anomaly DetectionUnsupervised Anomaly Detection

    UPCité, INSERM, HeKA | U1346 · Université Paris Cité, Inria, Inserm, HeKA, F-75015 Paris, France · ARAMIS, ICM +1

  4. Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach

    Apr 8, 2026Emre Gurkanli, Michael SpannowskyAnomaly DetectionAutoencoders

    Department of Physics, Sinop University, Turkiye · Institute for Theoretical Physics, Campus Süd, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe, Germany · Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany

  5. GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation

    Apr 2, 2026Elisa Motta, Marta Lorenzini, Clara Mouawad +3Gait AnalysisAnomaly Localization

    HRI2 Laboratory, Istituto Italiano di Tecnologia (IIT), Genoa, Italy · Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy · Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy

  6. VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

    Apr 1, 2026Jihao Lyu, Minghua Zhao, Jing Hu +3Video Anomaly DetectionAnomaly Detection

    Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China.

  7. Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation

    Mar 29, 2026Jun Liu, Ying Chen, Ziqian Lu +2Time-Series Anomaly DetectionAnomaly Detection

    Zhejiang University, Hangzhou, China · Zhejiang Sci-Tech University, Hangzhou, China

  8. Neuro-Symbolic Process Anomaly Detection

    Mar 27, 2026Devashish Gaikwad, Wil M. P. van der Aalst, Gyunam ParkAnomaly DetectionProcess Mining

    RWTH Aachen University, Aachen, Germany · Eindhoven University of Technology, Eindhoven, The Netherlands

  9. VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

    Mar 27, 2026PengYu Chen, Shang Wan, Xiaohou Shi +3Masked AutoencodersVision Foundation Model Adaptation

    School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China · China Telecom Research Institute Beijing, China · Department of Computer Science, Missouri University of Science and Technology, Rolla, MO 65409 USA

  10. A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

    Mar 26, 2026SuYeon Kim, Wongyu Lee, MyeongAh ChoPoint Cloud Anomaly DetectionUnsupervised Anomaly Detection

    Kyung Hee University, Republic of Korea

  11. Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning

    Mar 26, 2026Diyar Altinses, Andreas SchwungMultimodal LearningMultimodal Anomaly Detection

    Department of Automation Technology and Learning Systems, South Westphalia University of Applied Sciences, Soest, Germany

  12. MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection

    Mar 25, 2026Yuang Geng, Junkai Zhou, Kang Yang +5Video Anomaly DetectionReconstruction-Based Anomaly Detection

  13. Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection

    Mar 24, 2026Ning ZhuMedical Image Anomaly DetectionUnsupervised Anomaly Detection

  14. Template-Based Feature Aggregation Network for Industrial Anomaly Detection

    Mar 24, 2026Wei Luo, Haiming Yao, Wenyong YuIndustrial Anomaly DetectionReconstruction-Based Anomaly Detection

    State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China · State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

  15. A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection

    Mar 24, 2026Wei Luo, Haiming Yao, Zhenfeng Qiang +2Unsupervised Anomaly DetectionAnomaly Detection

    State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China · School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China

  16. URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

    Mar 24, 2026Wei Luo, Peng Xing, Yunkang Cao +3Unsupervised Anomaly DetectionIndustrial Anomaly Detection

    State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China · School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China · State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

  17. In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis

    Mar 23, 2026Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel +2IoT Intrusion DetectionNetwork Intrusion Detection

    School of IT, Deakin University, Geelong, Australia · School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

  18. Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at ARRONAX

    Mar 20, 2026F Basbous, F Poirier, F Haddad +1Time-Series Anomaly DetectionIndustrial Anomaly Detection

    Nantes Univ, GIP ARRONAX · ARRONAX, Saint Herblain, France · also at Nantes Université, Nantes, France +5

  19. GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection

    Mar 16, 2026Aggelos Psiris, Yannis Panagakis, Maria Vakalopoulou +1Few-Shot Anomaly DetectionIndustrial Anomaly Detection

    Harokopio University of Athens, Athens, Greece · National and Kapodistrian University of Athens, Athens, Greece · Archimedes, Athena Research Center, Athens, Greece +1

  20. Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection

    Mar 13, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionUnsupervised Anomaly Detection

    Mercedes-Benz AG, Germany · Institute for Intelligent Systems, Esslingen University of Applied Sciences, Germany

  21. An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series

    Mar 9, 2026Waldyn G MartinezTime-Series Anomaly DetectionInterpretable Anomaly Detection

    Department of Information Systems & Analytics Farmer School of Business Miami University Oxford, OH 45056

  22. Integration of deep generative Anomaly Detection algorithm in high-speed industrial line

    Mar 8, 2026Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli +2Industrial Anomaly DetectionOnline Anomaly Detection

    Department of Engineering, University of Ferrara, Via Saragat 1, Ferrara, 44122, Italy. · Bonfiglioli Engineering, Via Amerigo Vespucci 20, Ferrara, 44124, Italy.

  23. GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module

    Mar 8, 2026Niccolò Ferrari, Michele Fraccaroli, Evelina LammaIndustrial Anomaly DetectionAnomaly Localization

    Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy · Bonfiglioli Engineering, Via Amerigo Vespucci 20, 44124 Ferrara, Italy

  24. Tureis: Transformer-based Unified Resilience for IoT Devices in Smart Homes

    Mar 5, 2026Alireza Borhani, Vafa Andalibi, Bahar AsgariFault DetectionFault Localization

    University of Maryland, College Park, MD, USA · Google, Manhattan, NY, USA

  25. Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection

    Mar 4, 2026Radia Daci, Vito Renò, Cosimo Patruno +4Industrial Anomaly DetectionMultimodal Anomaly Detection

    CNR-ISASI, Institute of Applied Sciences and Intelligent Systems / National Research Council of Italy, via Monteroni snc, Lecce, 73100, Italy · CNR-STIIMA, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via G. Amendola 122 D/O, Bari, 70126, Italy · Institute d’Electronique de Microelectronique et de Nanotechnologie (IEMN) / Universite Polytechnique Hauts de France; Universite de Lille; CNRS, UMR 8520, City, 59313, France

  26. A Difference-in-Difference Approach to Detecting AI-Generated Images

    Feb 27, 2026Xinyi Qi, Kai Ye, Chengchun Shi +3AI-Generated Image DetectionReconstruction-Based Anomaly Detection

    The London School of Economics and Political Science · University of Birmingham

  27. Selective Denoising Diffusion Model for Time Series Anomaly Detection

    Feb 27, 2026Kohei Obata, Zheng Chen, Yasuko Matsubara +2Time-Series Anomaly DetectionReconstruction-Based Anomaly Detection

    SANKEN, The University of Osaka, Osaka, Japan · Great Bay University, Dongguan, China

  28. SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling

    Feb 26, 2026Camile Lendering, Erkut Akdag, Egor BondarevFew-Shot Anomaly DetectionAnomaly Detection

    AIMS Group, Department of Electrical Engineering, Eindhoven University of Technology

  29. Unsupervised Anomaly Detection in NSL-KDD Using ββ-VAE: A Latent Space and Reconstruction Error Approach

    Feb 23, 2026Dylan Baptiste, Ramla Saddem, Alexandre Philippot +1Unsupervised Anomaly DetectionNetwork Intrusion Detection

    CRESTIC · Université de Reims Champagne-Ardenne, CRESTIC, Reims, France · Seckiot, Paris, France

  30. TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection

    Feb 22, 2026Hui He, Hezhe Qiao, Yutong Chen +2Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    School of Computing and Information Systems, Singapore Management University, Singapore · Chongqing Institute of Green and Intelligent Technology, University of Chinese Academy of Sciences, Chongqing, China · State Information Center, Beijing, China