Towards Total Recall in Industrial Anomaly Detection

15 June 2021

Thomas Brox

Papers citing "Towards Total Recall in Industrial Anomaly Detection"

50 / 111 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhu Jiangtao Yan Y. Cai W. Zhang Meng Wang Jun Liu Y. Liu L. Wang Chengjie Wang VLM 41 0 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 25 0 0 14 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 34 4 0 14 May 2025
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection Yuqi Cheng Yunkang Cao Dongfang Wang Weiming Shen Wenlong Li 34 1 0 12 May 2025
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression Arianna Stropeni Francesco Borsatti Manuel Barusco Davide Dalle Pezze Marco Fabris Gian Antonio Susto 16 0 0 11 May 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Lei Hu Zhiyong Gan Ling Deng Jinglin Liang Lingyu Liang Shuangping Huang Tianshui Chen DiffM 31 0 0 10 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection Hanzhe Liang Aoran Wang Jie Zhou Xin Jin C. Gao Jinbao Wang 26 0 0 09 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li X. Li Xiaohu Zhang Xia Yang 37 0 0 06 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection Jiayi Cheng C. Gao Jie Zhou J. Wen Tao Dai J. Wang 34 0 0 04 May 2025
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering Zhe Zhang Mingxiu Cai H. Wang Gaochang Wu Tianyou Chai Xiatian Zhu 29 0 0 02 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng Feiyan Pang Zhanbo Wang Aimin Yang 74 0 0 28 Apr 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection Wenbing Zhu Lidong Wang Ziqing Zhou Chengjie Wang Yurui Pan ... Yulong Chen Shuguang Qian M. Chi Bo Peng Lizhuang Ma 26 0 0 19 Apr 2025
Search is All You Need for Few-shot Anomaly Detection Qishan Wang Jia Guo Shuyong Gao H. Wang Li Xiong J. Hu Hanqi Guo Wenqiang Zhang 53 0 0 16 Apr 2025
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection Jiajie Quan Ao Tong Yuxuan Cai Xinwei He Y. Wang Yang Zhou 54 1 0 27 Mar 2025
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection Jaewoo Song Daemin Park Kanghyun Baek Sangyub Lee Jooyoung Choi Eunji Kim Sungroh Yoon 54 0 0 18 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 151 0 0 06 Mar 2025
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM Sunghyun Ahn Youngwan Jo Kijung Lee Sein Kwon Inpyo Hong Sanghyun Park 55 0 0 06 Mar 2025
One-for-More: Continual Diffusion Model for Anomaly Detection Xiaofan Li Xin Tan Zhuo Chen Zhizhong Zhang Ruixin Zhang ... Guanna Jiang Yulong Chen Yanyun Qu Lizhuang Ma Yuan Xie DiffM 58 1 0 27 Feb 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 42 3 0 17 Feb 2025
Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection Xuan Tong Yang Chang Qing Zhao Jiawen Yu Boyang Wang ... Xinji Mai Haoran Wang Zeng Tao Yan Wang Wenqiang Zhang 66 1 0 17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 57 5 0 17 Feb 2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection Jiaxiang Wang Haote Xu Xiaolu Chen Haodi Xu Yue Huang Xinghao Ding Xiaotong Tu 48 0 0 16 Feb 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 46 0 0 14 Feb 2025
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model Shiryu Ueno Yoshikazu Hayashi Shunsuke Nakatsuka Yusei Yamada Hiroaki Aizawa K. Kato MLLM VLM 99 0 0 13 Feb 2025
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection Yiyue Li Shaoting Zhang Kang Li Qicheng Lao 72 0 0 03 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Tongkun Liu Bing Li Xiao Jin Yupeng Shi Qiuying Li Xiang Wei 64 0 0 03 Feb 2025
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection Yuanze Li Haolin Wang Shihao Yuan Ming-Yu Liu Debin Zhao Yiwen Guo Chen Xu Guangming Shi Wangmeng Zuo 81 29 0 20 Jan 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Qisen Cheng Shuhui Qu Janghwan Lee 51 4 0 17 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Y. Liu Feng Zheng Lizhuang Ma UQCV 46 1 0 30 Dec 2024
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection Fenfang Tao G. Xie Fang Zhao Xiangbo Shu 36 2 0 23 Dec 2024
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection Hanzhe Liang Guoyang Xie Chengbin Hou Bingshu Wang Can Gao Jinbao Wang 3DPC 93 4 0 18 Dec 2024
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection Jiyul Ham Yonggon Jung Jun-Geol Baek VLM 35 1 0 09 Nov 2024
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios Ziming Huang Xurui Li Haotian Liu Feng Xue Yuzhe Wang Yu Zhou 37 0 0 18 Oct 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring Eirini Cholopoulou D. Iakovidis AAML 26 0 0 20 Sep 2024
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control Muhammad Aqeel Shakiba Sharifi Marco Cristani Francesco Setti 35 1 0 21 Aug 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 66 0 0 14 Aug 2024
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model Zhenyu Yan Qingqing Fang Wenxi Lv Qinliang Su DiffM 34 0 0 04 Aug 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection Yunkang Cao Jiangning Zhang Luca Frittoli Yuqi Cheng Weiming Shen Giacomo Boracchi VLM 48 29 0 22 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 23 2 0 22 Jul 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 41 7 0 17 Jul 2024
Looking for Tiny Defects via Forward-Backward Feature Transfer Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 37 0 0 04 Jul 2024
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection Federico Girella Ziyue Liu Franco Fummi Francesco Setti Marco Cristani Luigi Capogrosso 36 3 0 04 Jul 2024
SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection Zongxiang Hu Zhaosheng Zhang VLM 27 1 0 04 Jul 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images Sukanya Patra Nicolas Sournac Souhaib Ben Taieb 34 1 0 23 Jun 2024
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach Niamh Belton Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 11 0 0 18 Jun 2024
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection Haiming Yao Yunkang Cao Wei Luo Weihang Zhang Wenyong Yu Weiming Shen 33 7 0 17 Jun 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection Hang Yao Ming-Yu Liu Haolin Wang Zhicun Yin Zifei Yan Xiaopeng Hong W. Zuo 39 15 0 11 Jun 2024
PixOOD: Pixel-Level Out-of-Distribution Detection Tomávs Vojívr Jan Sochman Jivrí Matas OODD 38 9 0 30 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 51 3 0 23 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 64 7 0 23 May 2024