Multimodal Anomaly Detection

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7 papers in the last four weeks, up 75% on the four weeks before. 0.1% of all new papers.

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  1. GRC-Net: Global Representation Consistency Network for Unsupervised Multimodal Anomaly Detection

    Oct 7, 2026Seyoung Jeong, Jong Pil Yun, Sang Jun LeeAnomaly DetectionIndustrial Anomaly Detection

    Jeonbuk National University, Jeonju, Republic of Korea · Korea Institute of Industrial Technology (KITECH), Incheon, Republic of Korea · Chung-Ang University, Seoul, Republic of Korea

  2. WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

    Sep 30, 2026Ziyan Jiang, Jingbo Yang, Jiabao Ji +5Multimodal Anomaly DetectionMultimodal Agents

    UC Santa Barbara · MIT CSAIL · MIT-IBM Watson AI Lab

  3. TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization

    Sep 30, 2026JinYoung Kim, Geonho Kim, GiJeong Park +2Domain GeneralizationAnomaly Localization

    Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea · SNUAILAB Co., Ltd., Seoul, Korea

  4. LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection

    Sep 30, 2026Jahyeob Koo, Kio Yun, Byoungmo Koo +1Anomaly LocalizationReconstruction-Based Anomaly Detection

    Department of Industrial and Management Engineering, Korea University Seoul, Republic of Korea

  5. VD-DeepStack: Bridging Visual Comparison and Language Reasoning for Few-Shot Anomaly Detection

    Sep 28, 2026Mengyang Zhao, Zhuolin He, Haiyang Yu +9Few-Shot Anomaly DetectionVisual Reasoning

    Fudan University · University of Southern California · Fuzhou University +1

  6. Industrial Anomaly Detection via Defect-Grounded Reasoning in Visual Latent Space

    Sep 24, 2026Jaron Yeh, Yen-Wei Chang, Jiang Liu +1Industrial Anomaly DetectionAnomaly Localization

    National Taiwan University · AMD GenAI

  7. Robust Fault Detection in Mechanical Multimodal Time Series via Self-Supervised Cross-Modal Reconstruction

    Sep 14, 2026Magnus Munk Jensen, Dorte Hammershøi, Rafał Wiśniewski +1Multimodal RobustnessIndustrial Anomaly Detection

    Automation and Control, Aalborg University, Aalborg, Denmark · Intelligent Maintenance and Operations Systems, EPFL, Lausanne, Switzerland

  8. Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection

    Sep 7, 2026Sébastien Thuau, Amira Gran, Siba Haidar +1Multimodal Anomaly DetectionWeakly Supervised Video Anomaly Detection

    esieaLab, ESIEA, Paris, France · ETIS Laboratory, CNRS, UMR8051, CY Cergy Paris University, Paris, France

  9. 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

  10. 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

  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. 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

  13. Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

    Aug 9, 2026Anushka Roy, Jyotirmoy Singh, Shreea Bose +1Multimodal Anomaly DetectionTime-Series Anomaly Detection

    Department of Electrical and Electronics Engineering BITS Pilani, Hyderabad Campus · Department of Computer Science & Information Systems BITS Pilani, Hyderabad Campus · Department of Computer Science & Information Systems2026 BITS Pilani, Hyderabad Campus

  14. LIBAD: A Multimodal Anomaly Detection Benchmark for Li-Ion Battery Electrode Manufacturing

    Aug 8, 2026Wenbo Sui, Daniel Lichau, Harold Phelippeau +1Industrial Anomaly DetectionMultimodal Anomaly Detection

    Thermo Fisher Scientific, 39 Rue d’Armagnac, Bordeaux, 33800, France · DTU Energy, Technical University of Denmark, Fysikvej 310, Kgs. Lyngby, 2800, Denmark · Thermo Fisher Scientific, 5350 NE Dawson Creek Dr, Hillsboro, OR 97124, USA

  15. LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds

    Aug 4, 2026Huanglong Ji, Botong Zhao, Shujing Lv +1Semiconductor ManufacturingMultimodal Large Language Models

  16. Understanding and Overcoming Cross-modal Fusion Bias in Multimodal Anomaly Detection From A Fisher Information Perspective

    Aug 2, 2026Kaifang Long, Lianbo Ma, Liming Liu +1Representational Similarity AnalysisMultimodal Anomaly Detection

    Northeastern University Shenyang, China · CATL Ningde, China

  17. OrEdge: Efficient Multi-Modal Anomaly Detection in Distributed Software Systems via Orthogonal-Domain Learning

    Jul 31, 2026Amr M. Zaki, Farhoud Jafari Kaleibar, Honggeun Ji +2Edge InferenceOrthogonal Representation Learning

    School of Engineering, York University, Toronto, ON, Canada.

  18. ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection

    Jul 31, 2026Zihan Nie, Qincheng Qiao, Muhao Xu +4Mixture of ExpertsOptical Coherence Tomography

    School of Mechanical Engineering, Shandong University, Jinan, China · 2Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education, Jinan, China · 6Airdoc-Monash Research, Monash University, Clayton, VIC 3800, Australia +3

  19. Explainable Multimodal AI for Adaptive Calibration of Archaeological Sensing Workflows

    Jul 29, 2026Nevio Dubbini, Daniel P. van Helden, Claudia Sciuto +6Multimodal Anomaly Detection

    Miningful srls, Pisa, Italy · King's College London, UK · MAPPA Lab, University of Pisa, Italy +3

  20. Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion

    Jul 26, 2026Jin Qian, Zhangzhi Xiong, Mingrui Li +1Multimodal Anomaly DetectionFinancial Time Series

    ShanghaiTech University, Shanghai, China

  21. 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

  22. TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection

    Jul 13, 2026Ming Deng, Sijin Sun, Xiaochuan Hu +1Industrial Anomaly DetectionAnomaly Localization

    Shanghai University Shanghai, China · National University of Singapore Singapore, Singapore · University of Electronic Science and Technology of China Chengdu, China

  23. Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms

    Jul 10, 2026Peipei Zhu, Yueqing Niu, Lin Zhu +3Event-Based VisionMultimodal Anomaly Detection

    College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China · School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China +1

  24. Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems

    Jul 7, 2026Alexander Apartsin, Yehudit ApersteinCyber-Physical SystemsIndustrial Anomaly Detection

    Holon Institute of Technology (HIT), Holon, Israel · Afeka Academic College of Engineering, Tel Aviv, Israel

  25. 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

  26. 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

  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. Linguistic Relative Policy Optimization for Video Anomaly Reasoning

    Jul 1, 2026Jiaxu Leng, Jiankang Zheng, Mengjingcheng Mo +4VLM AdaptationRL for Language Model Reasoning

    School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China · Chongqing College of Artificial Intelligence, Chongqing, 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. 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

  31. DifferAD-R1: A Difference-Guided IndustrialAnomaly Localization with Multimodal LargeLanguage Models

    Jun 15, 2026Dingrong Wang, Xian Tao, Zhen Qu +5Reinforcement LearningIndustrial Anomaly Detection

    Institute of Automation, Chinese Academy of Sciences (CAS), Beijing 100190, China · School of Artificial Intelligence, University of Chinese Sciences, Beijing 100049, China · Institute of Automation, CAS, Beijing 100190, China +4

  32. DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN

    Jun 4, 2026Francesco Spinelli, Esteban Municio, Pau Baguer +2Wireless CommunicationsOpen Radio Access Network

    i2CAT Foundation · NEC Laboratories Europe · ICREA

  33. A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision

    Jun 1, 2026Stefano Samele, Eugenio Lomurno, Teodora Jovanovic +3VLM EvaluationIndustrial Anomaly Detection

    Politecnico di Milano, AIRLab, Milan, Italy · S&H – Software & Hardware, Milan, Italy

  34. DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection

    May 30, 2026Arun SharmaRemote Sensing Image UnderstandingMultimodal Anomaly Detection

    University of Minnesota, Twin Cities

  35. AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection

    May 28, 2026Yi Zhang, Jiawen Zhu, Lele Fu +1Few-Shot Anomaly DetectionTool Use in VLMs

    Singapore Management University, Singapore · Sun Yat-sen University, China

  36. Uni-RCM: Unified Reference-guided Cross-modal Mapping for Multi-Class Anomaly Detection

    May 28, 2026Yangchen Wu, Huiqiang XieIndustrial Anomaly DetectionAnomaly Localization

    School of Information Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P. R. China

  37. An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?

    May 25, 2026Sangeeta ., Maddikuntla Sai Prajwal, Debi Prosad Dogra +4Multimodal Anomaly DetectionVideo Anomaly Detection

    Indian Institute of Technology Bhubaneswar Bhubaneswar, Odisha 752050, India · Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology Seoul 02792, Republic of Korea · Yonsei-KIST Convergence Research Institute, Yonsei University Seoul 03722, Republic of Korea

  38. IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

    May 20, 2026Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10Industrial Anomaly DetectionTool-Using Vision-Language Agents

    State Key Lab of Processors, Institute of Computing Technology, CAS

  39. JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA

    May 19, 2026Hyunju Kang, Woohyun Lee, Jaewon Kim +1Industrial Anomaly DetectionAnomaly Localization

    Sungkyunkwan University · Seoul National University

  40. UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction

    May 18, 2026Robson W. S. Pessoa, Julien Amblard, Alessandra Russo +1Multivariate Time Series ForecastingIndustrial Anomaly Detection

    aDepartment of Chemical Engineering, Norwegian University of Science and Technology2026 (NTNU), Trondheim, Norway · bDepartment of Computing, Imperial College London, London, United Kingdom

  41. Res2^2CLIP: Few-Shot Generalist Anomaly Detection with Residual-to-Residual Alignment

    May 15, 2026Xinyue Liu, Jianyuan Wang, Biao Leng +1Few-Shot Anomaly DetectionVLM Adaptation

    Beihang University · University of Science and Technology Beijing · Beijing Jiaotong University

  42. Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

    May 15, 2026Heqiang Wang, Weihong Yang, Zheyuan Yang +4Industrial Anomaly DetectionMultimodal Anomaly Detection

    Pengcheng Laboratory, Shenzhen, 518066, China · Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China

  43. LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection

    May 14, 2026Mitchell Piehl, Muchao YeInterpretable Anomaly DetectionVLM Reasoning

    The University of Iowa, Iowa City IA 52245, USA

  44. Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection

    May 12, 2026Muhammad Aqeel, Maham Nazir, Uzair Khan +2VLM AdaptationMedical Image Anomaly Detection

    Dept. of Engineering for Innovation Medicine, University of Verona, Italy · School of Computer Science and Engineering, Beihang University, China · Dept. of Engineering for Innovation +1

  45. MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection

    May 11, 2026Xiran Zhao, Jing Jin, Yan Bai +6Multi-View LearningIndustrial Anomaly Detection

    ShanghaiTech University · Tsinghua University · Meituan Inc. +1

  46. Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection

    May 8, 2026Wenbing Zhu, Jianing Liang, Linjie Cheng +7Industrial Anomaly DetectionMultimodal Anomaly Detection

    1Fudan University · 4Rongcheer Co., Ltd. · 3Donghua University +1

  47. Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection

    May 7, 2026Letian Bai, Xuanming Cao, Juan Du +1Prompt LearningCross-Modal Alignment

    Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology · College of Mechanical and Vehicle Engineering, Hunan University

  48. Text-Guided Multimodal Unified Industrial Anomaly Detection

    Apr 24, 2026Zewen Li, Shuo Ye, Zitong Yu +2Unified Multimodal ModelsIndustrial Anomaly Detection

    School of Computer Science & Software Engineering, Shenzhen University, China, 518060 · School of Computing and Information Technology, Great Bay University, Dongguan, 523000,China

  49. ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection

    Apr 20, 2026Qiuhui Chen, Jiaxiang Song, Shuai Tan +1Multimodal GroundingInterpretable Anomaly Detection

    School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

  50. MedAD-R1: Consistency-Reinforced Policy Optimization for Interpretable Medical Anomaly Detection

    Feb 1, 2026Haitao Zhang, Yingying Wang, Jiaxiang Wang +5HealthcareGroup Relative Policy Optimization

    School of Informatics, Xiamen University · Institute of Artificial Intelligence, Xiamen University · Zhejiang Expressway Co., Ltd. +3

  51. Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation

    Dec 10, 2025Nadeem Nazer, Hongkuan Zhou, Lavdim Halilaj +2Industrial Anomaly DetectionMultimodal Anomaly Detection

    Corporate Research, Robert Bosch GmbH, Renningen, Germany · Otto-von-Guericke-University Magdeburg, Magdeburg, Germany · Institute for Artificial Intelligence, University of Stuttgart, Stuttgart, Germany +2

  52. AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization

    Aug 6, 2025Jingyi Liao, Yongyi Su, Rong-Cheng Tu +6VLM AdaptationIndustrial Anomaly Detection

    1Nanyang Technological University · Institute for Infocomm Research (I2R), A*STAR · 3South China University of Technology

  53. Uncertainty-Weighted Fusion of Image and Synthetic Event for Video Anomaly Detection

    May 5, 2025Sungheon Jeong, Jihong Park, Mohsen ImaniUncertainty-Aware Multimodal FusionMultimodal Anomaly Detection

    University of California, Irvine · MOLOCO

  54. Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners

    Dec 12, 2024Xinyue Liu, Jianyuan Wang, Biao Leng +1Cross-Modal Knowledge DistillationIndustrial Anomaly Detection

    School of Computer Science and Engineering, Beihang University, Beijing 100191, China · Key Laboratory of Intelligent Bionic Unmanned Systems, Ministry of Education, and the School of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China · School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China