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DRAEM -- A discriminatively trained reconstruction embedding for surface
  anomaly detection

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

17 August 2021
Vitjan Zavrtanik
Matej Kristan
D. Skočaj
ArXivPDFHTML

Papers citing "DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection"

50 / 79 papers shown
Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
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
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
34
4
0
14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
22
0
0
14 May 2025
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
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
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
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
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
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
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
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
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
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
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
148
0
0
06 Mar 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
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
Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
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
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
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
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
Yiyue Li
Shaoting Zhang
Kang Li
Qicheng Lao
70
0
0
03 Feb 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
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
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
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
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
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
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
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
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
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
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
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
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
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with
  Energy-Based Models
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon
Himchan Hwang
Dohyun Kwon
Yung-Kyun Noh
Frank C. Park
34
3
0
30 Jun 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
Subin Varghese
Vedhus Hoskere
38
0
0
26 Jun 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from
  Irregular Sequences of Thermal Images
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
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
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
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
38
9
0
30 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
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
Feature Purified Transformer With Cross-level Feature Guiding Decoder
  For Multi-class OOD and Anomaly Deteciton
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
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
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
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
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
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
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
Open-World Semantic Segmentation Including Class Similarity
Open-World Semantic Segmentation Including Class Similarity
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
42
8
0
12 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection
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
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
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
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
31
31
0
11 Jan 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
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
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation
Mehdi Rafiei
Alexandros Iosifidis
21
0
0
24 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
24
29
0
11 Oct 2023
mixed attention auto encoder for multi-class industrial anomaly
  detection
mixed attention auto encoder for multi-class industrial anomaly detection
Jiangqi Liu
Feng Wang
35
8
0
22 Sep 2023
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot
  Anomaly Localization
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
Hanqiu Deng
Zhaoxiang Zhang
Jinan Bao
Xingyu Li
VLM
27
4
0
30 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization
  under One Millisecond via Cascade Patch Retrieval
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
37
17
0
13 Aug 2023
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