Few-Shot Anomaly Detection

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. 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

  2. The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection

    Sep 27, 2026Farhan Shahriyar Hossain, Taufikur Rahman Fuad, Md Abrar Jahin +1Few-Shot Anomaly DetectionBenchmark Auditing

    Islamic University of Technology · University of Southern California · Qatar Computing Research Institute (QCRI)

  3. Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

    Sep 14, 2026Juzheng Miao, Yuchen Yuan, Cheng Chen +1Few-Shot Anomaly DetectionMedical Image Anomaly Detection

    Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong, China · School of Biomedical Engineering, The University of Hong Kong, Hong Kong, China +1

  4. 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

  5. PL-SCEA: Reconfiguring Pretrained Attention for Few-Shot Industrial Anomaly Detection

    Sep 3, 2026Xiaoyu Yang, Qixing Wu, Huixian Zhao +1Few-Shot Anomaly DetectionVision Foundation Model Adaptation

    School of Airspace Science and Engineering, Shandong University, Shandong, China

  6. ConceptADapt: Concept-guided Adaptive Feature Reconstruction with Dynamic Attention for Few-Shot Industrial Anomaly Detection

    Aug 6, 2026Yufei Li, Yicheng Ruan, Long Tian +2Few-Shot Anomaly DetectionIndustrial Anomaly Detection

    School of Computer Science and Technology, Xidian University, Xi’an, China

  7. PADFormer: Pose-agnostic Anomaly Detection from Sparse View Images

    Aug 4, 2026Ruiqi Wang, Yiming Qian, Fenggen Yu +4Few-Shot Anomaly DetectionAnomaly Localization

    Amazon · Simon Fraser University · ⋆Work carried out during internship at Amazon. +1

  8. 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

  9. DuoAD: Leveraging [CLS] Dual Characteristics for Training-Free Few-Shot Anomaly Detection

    Jul 27, 2026Jyun-Ze Tang, Po-Han Huang, Ming-Ching Chang +2Few-Shot Anomaly DetectionAnomaly Localization

    Inventec Corporation, Taipei, Taiwan · University at Albany, State University of New York, NY, USA

  10. Rough Path Signature-Guided Geometry Augmentation for Few-Shot Industrial Surface Defect Detection

    Jul 14, 2026Jiaqi KuangFew-Shot Anomaly DetectionData Augmentation

    Oxford Suzhou Centre for Advanced Research, University of Oxford Suzhou, China

  11. 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

  12. 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

  13. Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection

    Jun 20, 2026Weizhi Nie, Weichao Liu, Weijie Wang +1Few-Shot Anomaly DetectionWorld Model Learning

    Tianjin University

  14. 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

  15. VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment

    Jun 3, 2026Zi Wang, Katsuya Hotta, Yawen Zou +4Point Cloud Anomaly DetectionFew-Shot Anomaly Detection

    Niigata University, Niigata-city, Japan · Iwate University, Morioka, Japan · University of Toyama, Toyama-city, Japan

  16. 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

  17. Beyond Normal References: Discriminative Few-Shot Anomaly Detection

    May 22, 2026Huan Wang, Jun Shen, Jun Yan +1Few-Shot Anomaly DetectionFew-Shot Learning

    Singapore Management University, Singapore · University of Wollongong, Australia

  18. 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

  19. Hypergraph-Enhanced Training-Free and Language-Free Few-Shot Anomaly Detection

    May 11, 2026Guohuan Xie, Xin He, Dingying Fan +2Few-Shot Anomaly DetectionMedical Image Anomaly Detection

    Nankai University · Tianjin University of Technology · Tsinghua University

  20. H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection

    Apr 16, 2026Jianghong Huang, Luping Ji, Weiwei Duan +1Few-Shot Anomaly DetectionMedical Image Anomaly Detection

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China