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