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. Training-Free Model Selection and Domain-Aware Score Calibration for First-Shot Anomalous Sound Detection

    Jul 5, 2026Grach MkrtchianModel CalibrationUnsupervised Anomaly Detection

    independent researcher

  2. Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning

    Jul 5, 2026Siddhesh A. Dhinge, Shubham G. Sukum, Harsh S. Ranjane +2Anomaly Detection

    dept. of Information Technology, Pune Institute of Computer Technology, Pune, India

  3. Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection

    Jul 4, 2026Runzhi Deng, Yundi Hu, Yiming Zhong +5Multimodal ICLIndustrial Anomaly Detection

    Nanjing University, Nanjing, Jiangsu, China · China Mobile Zijin Innovation Institute, Nanjing, Jiangsu, China · Southeast University, Nanjing, Jiangsu, China

  4. CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection

    Jul 3, 2026Wen Dong, Zhao Wang, Shuangqing Zhang +5Mixture of ExpertsMultimodal Large Language Models

    Nanjing University, Nanjing, China · China Mobile Zijin Innovation Institute, Nanjing, China · Nanjing University of Science and Technology, Nanjing, China

  5. ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection

    Jul 2, 2026Ningning Han, Lei Fan, Jia Guo +5Industrial Anomaly DetectionReconstruction-Based Anomaly Detection

    Faculty of Computing, Harbin Institute of Technology, Harbin, China · University of New South Wales, Sydney, Australia · DZ-Matrix, Beijing, China +4

  6. Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

    Jul 1, 2026Huanwen Liang, Yuhao Huang, Xiliang Zhu +6Few-Shot Anomaly DetectionPrototype-Based Classification

    Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, China

  7. Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication

    Jul 1, 2026Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1Digital Image ForensicsDiffusion-Based OOD Detection

    imagine, LIRIS · Universit´e Lumi`ere Lyon 2, CNRS, INSA Lyon, Universite Claude Bernard Lyon 1 LIRIS, UMR 5205 Lyon, France

  8. SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving

    Jun 30, 2026Nghia T. Nguyen, Lokman Bekit, Yasin YilmazAutonomous Driving BenchmarksVideo Anomaly Detection

    University of South Florida

  9. Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning

    Jun 30, 2026Pavia Bera, Jennifer Adorno, Sanjukta BhanjaOnline Anomaly DetectionCross-Domain Transfer Learning

    University of South Florida, Tampa, FL, USA

  10. Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector

    Jun 29, 2026Elys Allesiardo, Antoine Caubrière, Valentin VielzeufMultimodal EmbeddingMultimodal Model Interpretability

    Orange Research 4 Rue du Clos Courtel, 35510 Cesson-Sévigné, France

  11. Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection

    Jun 29, 2026Bochen Lin, Jianxiang Yu, Jiayi Wu +3Text-Attributed Graph LearningAnomaly Detection

    School of Data Science and Engineering, East China Normal University, Shanghai, China · WeChat, Tencent, Guangzhou, China

  12. REPAIR-Bench: A Benchmark for Robot Error Perception And Interaction Recovery

    Jun 29, 2026Giuliano Pioldi, Yashika Batra, Arman Ibrayeva +4Robot Failure DetectionRobot Failure Recovery

    Cornell University Cornell Tech New York, NY

  13. TACO: A Test and Check Framework for Robust Pose Graph Optimization

    Jun 29, 2026Emilio Olivastri, Alberto Pretto, Tobias FischerSimultaneous Localization and MappingPose Graph Optimization

    1Queensland University of Technology, AU · University of Padova, IT

  14. What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics

    Jun 29, 2026Kunwoong Kim, Dongha KimUnsupervised Anomaly DetectionNeural Network Training Dynamics

    KAIST AI · Department of Statistics Center for Data Science Sungshin Women’s University

  15. Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

    Jun 29, 2026Youngseok Hwang, Sungho Bae, Dohun Lee +4Synthetic Anomaly GenerationTime-Series Anomaly Detection

    Seoul National University Seoul, Republic of Korea · KRISO Daejeon, Republic of Korea

  16. UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction

    Jun 29, 2026Zhaopeng Gu, Bingke Zhu, Zhaowen Li +5Few-Shot Anomaly DetectionAnomaly Localization

    Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China · Yinwang Intelligent Technology Co. Ltd., China +4

  17. Benchmark AUC Is Not Deployable Reliability: A Cross-Dataset Audit of Off-the-Shelf Features for Surveillance Video Anomaly Detection

    Jun 28, 2026Mohammadreza RashidiDomain GeneralizationUnsupervised Anomaly Detection

    Department of Computer Science · AI and Media Analysis Lab · Berlin, Germany

  18. RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection

    Jun 27, 2026Quanling Zhao, Jiaying Yang, Ye Tian +5Tabular Anomaly DetectionUnsupervised Anomaly Detection

    1Computer Science and Engineering, University of California San Diego · 2Intel Corporation

  19. Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks

    Jun 27, 2026Manu Nandan, TJ Jaymes, Michael Brautbar +1Graph SSLCybersecurity

    CrowdStrike, Inc., USA · Univ. of Maryland, Baltimore County, USA

  20. LogiCo: A Unified Framework for Logical and Structural Anomaly Detection

    Jun 27, 2026Ximiao Zhang, Min Xu, Xiuzhuang ZhouIndustrial Anomaly DetectionReconstruction-Based Anomaly Detection

    School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing, China · College of Information and Engineering, Capital Normal University, Beijing, China

  21. Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation

    Jun 26, 2026Ali Zia, Usman Ali, Abdul Rehman +5Test-Time AdaptationUnsupervised Anomaly Detection

    School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia · School of Engineering and Applied Sciences, GIFT University, Gujranwala 52250, Pakistan · Sino-Pak Centre for Artificial Intelligence Pak-Austria Fachhochschule Institute of Applied Sciences and Technology

  22. Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection

    Jun 26, 2026Liming Liu, Chao Hu, Mingfei Lu +3Graph Neural NetworksGraph SSL

    Central South University, Changsha, China · University of Technology Sydney, Australian Artificial Intelligence Institute, Sydney, Australia

  23. Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability

    Jun 26, 2026Ruixuan Huang, Yipei Wang, Wenyi Fang +7Fault DetectionLLM Training

    1HKUST · 2Huawei · 3Independent Researcher

  24. An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations

    Jun 26, 2026Dihia Falouz, Aida Douaibia, Amine Bechar +3Retrieval-Augmented GenerationLLM Agent Evaluation

    Laboratoire LITAN École supérieure en Sciences et Technologies de l’Informatique et du Numérique RN 75, Amizour 06300, Bejaia, Algérie · College of Computing and Informatics University of Sharjah Sharjah, UAE · College of Engineering and Information Technology (CEIT) University of Dubai Dubai, UAE

  25. Identifying the Unknown: Prompt-Free Open Vocabulary Anomaly Recognition for Robot-Object Interaction

    Jun 25, 2026Philipp Allgeuer, Jan-Gerrit Habekost, Stefan WermterOpen-Vocabulary Object DetectionRobotic Perception

    Knowledge Technology, Dept. of Informatics, University of Hamburg, Germany

  26. DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

    Jun 25, 2026Hun Im, Jungi Lee, Subeen Cha +1Normalizing FlowsIndustrial Anomaly Detection

    Seoul National University, Seoul, Korea

  27. Hypergraph Normal World Models for Logical Visual Anomaly Detection

    Jun 24, 2026Weizhi Nie, Zibo Xu, Weijie Wang +1Unsupervised Anomaly DetectionHypergraph Learning

    Tianjin University

  28. ESTANet: Efficient Online Error Detection in Procedural Videos via Prediction Inconsistency

    Jun 24, 2026Shih-Po Lee, Reza Ghoddoosian, Faizan Siddiqui +2Online Anomaly DetectionTemporal Video Understanding

    Honda Research Institute, USA · Northeastern University

  29. CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection

    Jun 24, 2026Ke Xu, Xinle Wang, Yanning Hou +3Industrial Anomaly DetectionMultimodal Anomaly Detection

    State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Anhui University, Hefei, China · School of Artificial Intelligence, Anhui University, Hefei, China · College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China +1

  30. DDStereo: Efficient Dual Decoder Transformers for Stereo 3D Road Anomaly Detection

    Jun 23, 2026Shiyi Mu, Zichong Gu, Zhiqi Ai +23D ViTsAutonomous Driving Perception

    Shanghai University, Shanghai, China · Xi’an Jiaotong-Liverpool University, Suzhou, China