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SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection
  and Segmentation

SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation

28 July 2022
Yang Zou
Jongheon Jeong
Latha Pemula
Dongqing Zhang
O. Dabeer
ArXivPDFHTML

Papers citing "SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation"

50 / 56 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
25
0
0
14 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
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
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
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
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
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
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Zongyun Zhang
Jiacheng Ruan
Xian Gao
Ting Liu
Yuzhuo Fu
70
2
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
151
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
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
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
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
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
72
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
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
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
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
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot
  Anomaly Detection
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
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
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
A. Bhunia
Changjian Li
Hakan Bilen
52
0
0
28 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
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot
  Self-Supervised Contrastive Learning Approach
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
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
39
15
0
11 Jun 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
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
51
3
0
23 May 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization
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
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Junzhuo Chen
Shitong Kang
36
0
0
10 May 2024
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and
  High-Quality Localization
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
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
63
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
37
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
50
46
0
19 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
Effectiveness Assessment of Recent Large Vision-Language Models
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang
Xinyu Yan
Ge-Peng Ji
Keren Fu
Meijun Sun
Huan Xiong
Deng-Ping Fan
Fahad Shahbaz Khan
31
14
0
07 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 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
36
31
0
11 Jan 2024
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
29
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
29
30
0
11 Oct 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
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
23
100
0
29 Aug 2023
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty
  Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Liang Gao
Weiming Shen
32
1
0
15 Jun 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Zongwei Du
Liang Gao
Weiming Shen
VLM
35
70
0
18 May 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Chunhui Zhang
Li Liu
Yawen Cui
Guanjie Huang
Weilin Lin
Yiqian Yang
Yuehong Hu
VLM
34
90
0
14 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
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and
  Masked Multi-scale Reconstruction
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
Zilong Zhang
Zhibin Zhao
Xingwu Zhang
Chuang Sun
Xuefeng Chen
19
49
0
05 Apr 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
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng R. Li
Octavia Camps
Yun Fu
23
5
0
13 Feb 2023
FractalAD: A simple industrial anomaly detection method using fractal
  anomaly generation and backbone knowledge distillation
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
X. Xia
Weijie Lv
Xing He
Nan Li
Chuanqi Liu
Ning Ding
32
1
0
30 Jan 2023
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