Zero-Shot Anomaly Detection

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4 papers in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

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  1. Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding

    Oct 1, 2026Mohd Ubaid Wani, Sara Atito, Josef Kittler +1CoT ReasoningInterpretable Anomaly Detection

    Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, UK · Surrey Institute for People-Centred AI (PAI) University of Surrey, UK

  2. Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly Detection

    Sep 15, 2026Jiawei Gu, Qilin Zhao, Tengkuo Guo +6Video Anomaly DetectionZero-Shot Anomaly Detection

    School of Intelligence Science and Technology, Nanjing University, Suzhou 215163, China · Faculty of Life Science and Medicine, School of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China · School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China +2

  3. PSMP-CLIP: Patch-Prompt SAM and Multi-Semantic Prompting for CLIP-Based Zero-Shot Anomaly Detection

    Sep 15, 2026Xuezhi Xiang, Guanghao Wu, Heqi Xiang +4Promptable Image SegmentationAnomaly Localization

    Information and Communication Engineering, Harbin Engineering University, Harbin, China · Key Laboratory of Advanced Marine Communication and Information Technology, Harbin, China · Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada +1

  4. Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly Detection

    Sep 7, 2026Manwen Yang, Leqian Ding, Yu Guo +1VLM AdaptationAnomaly Localization

    School of Software Engineering, Xi’an Jiaotong University · State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University

  5. GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection

    Sep 4, 2026Xudong Wang, Chris Ding, Tongxin Li +1Few-Shot Anomaly DetectionCross-Modal Alignment

    School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China

  6. An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data

    Sep 3, 2026Mahshid Rezakhani, Tolunay Seyfi, Fatemeh AfghahDomain-Adversarial LearningUnsupervised Domain Adaptation

    Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, 29634 SC, USA

  7. Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring

    Aug 31, 2026Vanodhya G. Warnasooriya, Amir Hajian, Watchara Ruangsang +1Multimodal Anomaly DetectionVideo Anomaly Detection

    Dept. of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand · Media Technology Program, King Mongkut’s Univ. of Technology Thonburi, Bangkok 10150, Thailand

  8. InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection

    Aug 30, 2026Weifei Chen, Honghao Zhang, Zhiyuan You +1Industrial Anomaly DetectionZero-Shot Anomaly Detection

    Shanghai Jiao Tong University · The Chinese University of Hong Kong

  9. SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video

    Aug 30, 2026Arkya Jyoti Bagchi, Ritul Jangir, Varun RaskarTraffic Accident AnticipationAnomaly Localization

    Indian Institute of Technology Jodhpur, India

  10. A VLM Answer Is Not an Anomaly Score: Rank Compression Across Image and Video Anomaly Detection

    Aug 21, 2026Inpyo Song, Jangwon LeeVideo Anomaly DetectionZero-Shot Anomaly Detection

    SungKyunKwan University South Korea

  11. Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection

    Aug 12, 2026Jimin Roh, DongKyu Kim, Suk-Ju KangVLM AdaptationMultimodal Anomaly Detection

    Sogang University · LG Electronics · NAVER Cloud

  12. TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning

    Aug 12, 2026Shuangqing Zhang, Lei-Lei Ma, Zhao Wang +5Video Anomaly DetectionZero-Shot Anomaly Detection

    School of Intelligence Science and Technology, Nanjing University, Suzhou 215163, China. · School of Artificial Intelligence Engineering, Hefei Institute of Technology, Hefei 230001, China. · China Mobile Zijin Innovation Institute, Nanjing 211800, China. +1

  13. Beyond Hazard Resemblance: Contrastive Event Adjudication for Training-Free Video Anomaly Detection

    Aug 10, 2026Wenti Yin, Xiang Wang, Huaxin Zhang +4Interpretable Anomaly DetectionAnomaly Localization

    Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology · Alibaba Group · The Hong Kong University of Science and Technology (Guangzhou)

  14. ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection

    Aug 10, 2026Jingtai He, Shiyuan Meng, Wenchao Meng +1Industrial Anomaly DetectionMultimodal Large Language Models

    Zhejiang University

  15. Foundation Models are Implicit Deepfake Detectors

    Aug 10, 2026Stefan Smeu, Dragos-Alexandru Boldisor, Elisabeta Oneata +1Vision Foundation ModelsDeepfake Detection

    1Bitdefender, Romania · 2POLITEHNICA Bucharest

  16. Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic Interpretability

    Aug 10, 2026Jiaheng Su, Yu SunMechanistic InterpretabilityMultimodal Anomaly Detection

    Independent Researcher, Los Angeles, CA, USA · California State Polytechnic University, Pomona, CA, USA

  17. Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection

    Aug 4, 2026Yanning Hou, Jingyuan Zhang, Xiaoyun Wang +3Medical Image Anomaly DetectionIndustrial Anomaly Detection

    2National University of Defense Technology, Changsha, China · 1Anhui University, Hefei, China

  18. FreqAnchorAD: Language-Free Zero-Shot Anomaly Detection via Frequency-Deviation Anchoring

    Aug 1, 2026Jianfeng Qiu, Peiyuan Li, Juan Xie +4Frequency-Domain Feature LearningMedical Image Anomaly Detection

    Anhui University, Hefei, China · National University of Defense Technology, Changsha, China

  19. Beyond Static Anchors: Bounded Prototype Conditioning for Language-Free Medical Anomaly Detection

    Aug 1, 2026Yibo Wan, Jinyu Cai, See-kiong NgFew-Shot Anomaly DetectionMedical Image Anomaly Detection

    School of Computing, National University of Singapore, Singapore · Institute of Data Science, National University of Singapore, Singapore

  20. VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection

    Jul 31, 2026Peng Chen, Kaige Li, Wei Wang +5VLM AdaptationFrequency-Domain Feature Learning

    School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

  21. Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA

    Jul 28, 2026Carlos Celemin, Benedict Wilkins, Adrián Barahona-Ríos +2VLM EvaluationVLM Robustness

    Sony Interactive Entertainment, London, United Kingdom

  22. Finding the noise: Zero-shot AI Music Detection

    Jul 28, 2026Darius Afchar, Romain HennequinAudio Deepfake DetectionAI-Generated Music Detection

    Deezer Research

  23. MOPDA: Mixed-Trajectory On-Policy Distillation for Language-Guided Industrial Anomaly Detection

    Jul 21, 2026Shuimu Chen, Jing Jin, Nan Su +5Industrial Anomaly DetectionVLM Distillation

    Tsinghua University · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) · Shenzhen University

  24. Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection

    Jul 14, 2026Martin Uray, Saverio Messineo, Roland Kwitt +1Industrial Anomaly DetectionZero-Shot Anomaly Detection

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Austria · Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Austria

  25. Road-Aware Anomaly Segmentation with Query-Guided Polygons and CLIP in Autonomous Driving

    Jul 5, 2026Zhiran Yan, Gordon ElgerImage SegmentationAutonomous Driving Perception

    Institute of Innovative Mobility (IIMo), Technical University Ingolstadt of Applied Sciences, Ingolstadt, 85049, Germany. · Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Ingolstadt, 85051, Germany.

  26. LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing

    Jul 2, 2026Uzair Khan, Luigi Capogrosso, Muhammad Aqeel +3Edge InferenceIndustrial Anomaly Detection

    University of Verona · Interdisciplinary Transformation University of Austria · ETH Zurich

  27. GenAU: Language-Grounded Industrial Anomaly Understanding with Vision-Language Models

    Jul 1, 2026Hongkuan Zhou, Tristan Rehm, Nadeem Nazer +3Industrial Anomaly DetectionVision-Language Grounding

    Corporate Research, Robert Bosch GmbH, Renningen, Germany · Institute for Artificial Intelligence University of Stuttgart, Stuttgart, Germany · Otto-von-Guericke-University Magdeburg, Magdeburg, Germany +1

  28. Robust Zero-shot Anomaly Detection under Limited Auxiliary Anomaly Priors

    Jun 28, 2026Guanyu Lu, Fang Zhou, Cheqing JinPrompt LearningDomain Generalization

    East China Normal University, Shanghai, China

  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. 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