Explainable Deep Few-shot Anomaly Detection with Deviation Networks

1 August 2021

Chunhua Shen

Papers citing "Explainable Deep Few-shot Anomaly Detection with Deviation Networks"

50 / 52 papers shown

Title
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 56 0 0 09 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Fuyun Wang Tong Zhang Yuanzhi Wang Yide Qiu Xin Liu Xu Guo Zhen Cui DiffM 44 0 0 28 Feb 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 44 0 0 13 Jan 2025
Towards Zero-shot 3D Anomaly Localization Yizhou Wang Kuan-Chuan Peng Y. Fu 78 3 0 05 Dec 2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination Anindya Sundar Das Guansong Pang M. Bhuyan 36 0 0 14 Nov 2024
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection Yizhe Liu Yan Song Hu Yuhao Chen John S. Zelek 23 3 0 15 Oct 2024
Interactive Explainable Anomaly Detection for Industrial Settings Daniel Gramelt Timon Höfer Ute Schmid AAML HAI 31 1 0 01 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection Qihang Zhou Jiangtao Yan Shibo He Wenchao Meng Jiming Chen 3DPC 53 6 0 01 Oct 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring Eirini Cholopoulou D. Iakovidis AAML 28 0 0 20 Sep 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries Yuqi Jiang Xudong Lu Qian Jin Qi Sun Hanming Wu Cheng Zhuo 48 6 0 15 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization Hanxi Li Jingqi Wu Lin Yuanbo Wu Hao Chen Deyin Liu Chunhua Shen 40 0 0 03 Jul 2024
ATAC-Net: Zoomed view works better for Anomaly Detection Shaurya Gupta Neil Gautam Anurag Malyala 31 0 0 20 Jun 2024
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection Yifeng Peng Xinyi Li Zhiding Liang Ying Wang 44 0 0 25 May 2024
Supervised Anomaly Detection for Complex Industrial Images Aimira Baitieva David Hurych Victor Besnier Olivier Bernard 50 5 0 08 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 22 1 0 03 May 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection Jianlong Hu Xu Chen Zhenye Gan Jinlong Peng Shengchuan Zhang Jiangning Zhang Yabiao Wang Chengjie Wang Liujuan Cao Rongrong Ji 42 4 0 19 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 10 0 29 Feb 2024
AED: Adaptable Error Detection for Few-shot Imitation Policy Jia-Fong Yeh Kuo-Han Hung Pang-Chi Lo Chi-Ming Chung Tsung-Han Wu Hung-Ting Su Yi-Ting Chen Winston H. Hsu 32 1 0 06 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment Haihong Zhao Chenyi Zi Yang Liu Chen Zhang Yan Zhou Jia Li 36 7 0 06 Feb 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model Teng Hu Jiangning Zhang Ran Yi Yuzhen Du Xu Chen Liang Liu Yabiao Wang Chengjie Wang 84 69 0 10 Dec 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection Qihang Zhou Guansong Pang Yu Tian Shibo He Jiming Chen VLM 42 124 0 29 Oct 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection Jiawen Zhu Choubo Ding Yu Tian Guansong Pang 48 12 0 19 Oct 2023
Few-shot Anomaly Detection in Text with Deviation Learning Anindya Sundar Das Aravind Ajay S. Saha M. Bhuyan 21 2 0 22 Aug 2023
Robust Fraud Detection via Supervised Contrastive Learning M.S Vinay Shuhan Yuan Xintao Wu AAML 30 1 0 19 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval Hanxi Li Jianfei Hu Bo-wen Li Hao Chen Yongbin Zheng Chunhua Shen 40 17 0 13 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 18 25 0 25 Jul 2023
Anomaly Detection with Score Distribution Discrimination Minqi Jiang Songqiao Han Hailiang Huang 34 9 0 26 Jun 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection Jianan Ye Yijie Hu Xi Yang Qiufeng Wang Chao Huang Kaizhu Huang 25 5 0 14 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers Hanxi Li Jing Wu Lin Yuanbo Wu Hao Chen Deyin Liu Mingwen Wang Peng Wang ViT 42 4 0 06 Jun 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection Rahul Kale V. Thing 24 9 0 15 Apr 2023
Explainable Intrusion Detection Systems Using Competitive Learning Techniques Jesse Ables Thomas Kirby Sudip Mittal I. Banicescu Shahram Rahimi William Anderson Maria Seale 21 1 0 30 Mar 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 37 5 0 13 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing Guoyang Xie Jinbao Wang Jiaqi Liu Jiayi Lyu Yong-Jin Liu Chengjie Wang Feng Zheng Yaochu Jin VLM 33 65 0 31 Jan 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore Guoyang Xie Jingbao Wang Jiaqi Liu Feng Zheng Yaochu Jin 33 64 0 28 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey Jiaqi Liu Guoyang Xie Jingbao Wang Shangwen Li Chengjie Wang Feng Zheng Yaochu Jin 32 173 0 27 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Zihan Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples Jianjian Qin Chunzhi Gu Junzhou Yu Chaoxi Zhang 3DPC 29 12 0 31 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 38 73 0 13 Oct 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning Yaohua Guo Lijuan Song Zirui Ma 29 0 0 15 Sep 2022
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces Iñigo López-Riobóo Botana Carlos Eiras-Franco Julio César Hernández Castro Amparo Alonso-Betanzos 27 0 0 09 Sep 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 27 11 0 24 Jul 2022
Creating an Explainable Intrusion Detection System Using Self Organizing Maps Jesse Ables Thomas Kirby William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale 35 13 0 15 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection Xincheng Yao Ruoqing Li Jing Zhang Jun Sun Chongyang Zhang 26 64 0 04 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images Yajie Cui Zhaoxiang Liu Kai Wang OOD DRL 44 43 0 24 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
LesionPaste: One-Shot Anomaly Detection for Medical Images Weikai Huang Yijin Huang Xiaoying Tang MedIm 27 2 0 12 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022