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Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

5 May 2020
Niv Cohen
Yedid Hoshen
ArXivPDFHTML

Papers citing "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

50 / 64 papers shown
Title
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
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
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
Peijian Zeng
Feiyan Pang
Zhanbo Wang
Aimin Yang
74
0
0
28 Apr 2025
Search is All You Need for Few-shot Anomaly Detection
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
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
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
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
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
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
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
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Qisen Cheng
Shuhui Qu
Janghwan Lee
51
4
0
17 Jan 2025
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
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
66
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
Looking for Tiny Defects via Forward-Backward Feature Transfer
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
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
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
33
7
0
17 Jun 2024
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled
  Watermarking
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking
Mehrdad Saberi
Vinu Sankar Sadasivan
Arman Zarei
Hessam Mahdavifar
S. Feizi
30
1
0
05 Jun 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
Simon Damm
M. Laszkiewicz
Johannes Lederer
Asja Fischer
54
3
0
23 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Junzhuo Chen
Shitong Kang
39
0
0
10 May 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
66
35
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
40
6
0
29 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
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
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
29
0
0
24 Nov 2023
SCL-VI: Self-supervised Context Learning for Visual Inspection of
  Industrial Defects
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Peng Wang
Haiming Yao
Wenyong Yu
8
3
0
11 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
29
30
0
11 Oct 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language
  Models
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
VLM
MLLM
25
100
0
29 Aug 2023
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for
  Unsupervised Medical Anomaly Detection
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
Yiming Huang
Guo-Shuai Liu
Yaoru Luo
Ge Yang
OOD
MedIm
16
2
0
29 Aug 2023
Local and Global Information in Obstacle Detection on Railway Tracks
Local and Global Information in Obstacle Detection on Railway Tracks
Matthias Brucker
Andrei Cramariuc
Cornelius von Einem
Roland Siegwart
César Cadena
22
8
0
28 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
32
4
0
24 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection
Contextual Affinity Distillation for Image Anomaly Detection
Jie M. Zhang
Masanori Suganuma
Takayuki Okatani
39
14
0
06 Jul 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial
  Responses
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
Takato Yasuno
Masahiro Okano
Junichiro Fujii
19
0
0
05 Jun 2023
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
29
27
0
15 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature
  Correspondence Analysis
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
Andrei-Timotei Ardelean
Tim Weyrich
36
4
0
13 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and
  Discriminative Flow
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
Haiming Yao
Wei Luo
Wenyong Yu
ViT
26
3
0
31 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Kilian Batzner
Lars Heckler
Rebecca König
43
130
0
25 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Hui Zhang
Zheng Wang
Dan Zeng
Yu-Gang Jiang
Yu-Gang Jiang
DiffM
37
24
0
15 Mar 2023
Learning Global-Local Correspondence with Semantic Bottleneck for
  Logical Anomaly Detection
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
Haiming Yao
Wenyong Yu
Wei Luo
Zhenfeng Qiang
Donghao Luo
Xiaotian Zhang
29
21
0
10 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using
  Pyramid Normalizing Flow
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
Jiarui Lei
Xiao-Xiang Hu
Yue Wang
Dong Liu
37
59
0
05 Mar 2023
Two-stream Decoder Feature Normality Estimating Network for Industrial
  Anomaly Detection
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
Chaewon Park
Minhyeok Lee
Suhwan Cho
Donghyeon Kim
Sangyoun Lee
19
4
0
20 Feb 2023
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
Chao Hu
Shengxin Lai
14
0
0
12 Dec 2022
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Z. Wang
Zhineng Chen
Yuwei Jiang
UQCV
AI4TS
35
62
0
05 Dec 2022
FRE: A Fast Method For Anomaly Detection And Segmentation
FRE: A Fast Method For Anomaly Detection And Segmentation
I. Ndiour
Nilesh A. Ahuja
Ergin Utku Genc
Omesh Tickoo
48
2
0
23 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with
  Unsupervised Threshold
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanián
Álvaro Pardo
Pablo Musé
30
18
0
22 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly
  Detection
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Xuan Zhang
Shiyu Li
Xi Li
Ping-Chia Huang
Jiulong Shan
Ting Chen
18
126
0
21 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual
  Anomaly Detector
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Haiming Yao
Xue Wang
Wenyong Yu
22
9
0
01 Nov 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly
  Detection
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection
Shinji Yamada
Satoshi Kamiya
Kazuhiro Hotta
26
29
0
14 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly
  Detection
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
Peng-Fei Xing
Yanpeng Sun
Zechao Li
27
12
0
26 Sep 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented
  Anomaly Localization
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
Sungwook Lee
Seunghyun Lee
B. Song
16
178
0
09 Jun 2022
12
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