PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

17 November 2020

Papers citing "PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization"

50 / 96 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 22 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
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
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li X. Li Xiaohu Zhang Xia Yang 29 0 0 06 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 71 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
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery Angelina Ibarra Joshua Peeples 40 0 0 10 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
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
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 57 5 0 17 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
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 70 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 79 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
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 63 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
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
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 34 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 29 1 0 23 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 31 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 37 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 48 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
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin O. Lanz 32 0 0 11 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 34 0 0 10 May 2024
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton Chun-Wei Lin Pi-Wei Chen Chao-Chun Chen OODD 31 0 0 30 Apr 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu Shicai Fan Xue Zhou Li Yu Yuzhong Deng Jianxiao Zou Baihong Lin DiffM 43 4 0 27 Apr 2024
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization Zhaopeng Gu Bingke Zhu Guibo Zhu Yingying Chen Hao Li Ming Tang Jinqiao Wang 39 15 0 21 Apr 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 52 15 0 15 Apr 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection Haoyang He Yuhu Bai Jiangning Zhang Qingdong He Hongxu Chen Zhenye Gan Chengjie Wang Xiangtai Li Guanzhong Tian Lei Xie Mamba 60 33 0 09 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 35 6 0 29 Mar 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection Chengjie Wang Wenbing Zhu Bin-Bin Gao Zhenye Gan Jianning Zhang Zhihao Gu Shuguang Qian Mingang Chen Lizhuang Ma 47 45 0 19 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection Ximiao Zhang Min Xu Xiuzhuang Zhou 48 47 0 09 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 34 2 0 07 Mar 2024
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation Hanxi Li Zhengxun Zhang Hao Chen Lin Wu Bo Li Deyin Liu Mingwen Wang 45 2 0 29 Feb 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation Mehdi Rafiei Alexandros Iosifidis 21 0 0 24 Nov 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 29 0 0 24 Nov 2023
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection Lei Fan Yiwen Ding Dongdong Fan Yong Wu M. Pagnucco Yang Song 20 5 0 20 Nov 2023