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Explainable Deep Few-shot Anomaly Detection with Deviation Networks
1 August 2021
Guansong Pang
Choubo Ding
Chunhua Shen
Anton Van Den Hengel
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Papers citing
"Explainable Deep Few-shot Anomaly Detection with Deviation Networks"
50 / 59 papers shown
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
Zahra Zamanzadeh Darban
Qizhou Wang
Charu C. Aggarwal
Geoffrey I. Webb
Ehsan Abbasnejad
Mahsa Salehi
65
0
0
15 Nov 2025
Double Helix Diffusion for Cross-Domain Anomaly Image Generation
Linchun Wu
Qin Zou
Xianbiao Qi
Bo Du
Zhongyuan Wang
Qingquan Li
169
0
0
16 Sep 2025
MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
Gang Li
Tianjiao Chen
Mingle Zhou
Min Li
Delong Han
Jin Wan
105
0
0
12 Sep 2025
PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
Qihang Zhou
Shibo He
Jiangtao Yan
Wenchao Meng
Jiming Chen
3DPC
244
0
0
03 Sep 2025
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
Journal of Intelligent Manufacturing (J Intell Manuf), 2025
Blaž Rolih
Matic Fucka
D. Skočaj
103
0
0
26 Aug 2025
Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce Scenarios
IEEE Transactions on Image Processing (IEEE TIP), 2025
Siyue Yao
Mingjie Sun
Eng Gee Lim
Ran Yi
Baojiang Zhong
Moncef Gabbouj
179
0
0
14 Jul 2025
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
Wei Luo
Haiming Yao
Yunkang Cao
Qiyu Chen
Ang Gao
Weiming Shen
Weihang Zhang
310
6
0
01 Jul 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
232
0
0
30 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
International Conference on Learning Representations (ICLR), 2025
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
271
2
0
09 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2025
Fuyun Wang
Tong Zhang
Yuanzhi Wang
Yide Qiu
Xin Liu
Xu Guo
Zhen Cui
DiffM
259
4
0
28 Feb 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
Wenhan Jiang
Tingting Chai
Hongri Liu
Kai Wang
Hongke Zhang
294
0
0
13 Jan 2025
Towards Zero-shot 3D Anomaly Localization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yizhou Wang
Kuan-Chuan Peng
Y. Fu
371
8
0
05 Dec 2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Anindya Sundar Das
Guansong Pang
M. Bhuyan
282
3
0
14 Nov 2024
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
Yizhe Liu
Yan Song Hu
Yuhao Chen
John S. Zelek
241
6
0
15 Oct 2024
Interactive Explainable Anomaly Detection for Industrial Settings
Daniel Gramelt
Timon Höfer
Ute Schmid
AAML
HAI
332
3
0
01 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2024
Qihang Zhou
Jiangtao Yan
Shibo He
Wenchao Meng
Jiming Chen
3DPC
519
19
0
01 Oct 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou
D. Iakovidis
AAML
210
0
0
20 Sep 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
Yuqi Jiang
Xudong Lu
Qian Jin
Qi Sun
Hanming Wu
Cheng Zhuo
308
16
0
15 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li
Jingqi Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Chunhua Shen
237
1
0
03 Jul 2024
ATAC-Net: Zoomed view works better for Anomaly Detection
Shaurya Gupta
Neil Gautam
Anurag Malyala
191
0
0
20 Jun 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Yifeng Peng
Xinyi Li
Zhiding Liang
Ying Wang
259
6
0
25 May 2024
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva
David Hurych
Victor Besnier
Olivier Bernard
244
23
0
08 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
IEEE Reviews in Biomedical Engineering (RBME), 2024
Chenqi Li
Timothy Denison
Tingting Zhu
272
8
0
03 May 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Jianlong Hu
Xu Chen
Zhenye Gan
Jinlong Peng
Shengchuan Zhang
Jiangning Zhang
Yabiao Wang
Chengjie Wang
Liujuan Cao
Rongrong Ji
195
10
0
19 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
239
23
0
29 Feb 2024
AED: Adaptable Error Detection for Few-shot Imitation Policy
Neural Information Processing Systems (NeurIPS), 2024
Jia-Fong Yeh
Kuo-Han Hung
Pang-Chi Lo
Chi-Ming Chung
Tsung-Han Wu
Hung-Ting Su
Yi-Ting Chen
Winston H. Hsu
191
2
0
06 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
The Web Conference (WWW), 2024
Haihong Zhao
Chenyi Zi
Yang Liu
Chen Zhang
Yan Zhou
Jia Li
231
16
0
06 Feb 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AAAI Conference on Artificial Intelligence (AAAI), 2023
Teng Hu
Jiangning Zhang
Ran Yi
Yuzhen Du
Xu Chen
Liang Liu
Yabiao Wang
Chengjie Wang
337
132
0
10 Dec 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
International Conference on Learning Representations (ICLR), 2023
Qihang Zhou
Guansong Pang
Yu Tian
Shibo He
Jiming Chen
VLM
726
281
0
29 Oct 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
432
35
0
19 Oct 2023
Few-shot Anomaly Detection in Text with Deviation Learning
International Conference on Neural Information Processing (ICONIP), 2023
Anindya Sundar Das
Aravind Ajay
S. Saha
M. Bhuyan
179
6
0
22 Aug 2023
Robust Fraud Detection via Supervised Contrastive Learning
BigData Congress [Services Society] (BSS), 2023
M.S Vinay
Shuhan Yuan
Xintao Wu
AAML
158
1
0
19 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
IEEE Transactions on Image Processing (IEEE TIP), 2023
Hanxi Li
Jianfei Hu
Yue Liu
Hao Chen
Yongbin Zheng
Chunhua Shen
214
39
0
13 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
Information Processing & Management (IPM), 2023
Hongzuo Xu
Yijie Wang
Guansong Pang
Songlei Jian
Ninghui Liu
Yongjun Wang
171
40
0
25 Jul 2023
Anomaly Detection with Score Distribution Discrimination
Knowledge Discovery and Data Mining (KDD), 2023
Minqi Jiang
Songqiao Han
Hailiang Huang
299
17
0
26 Jun 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
Pattern Recognition (Pattern Recogn.), 2023
Jianan Ye
Yijie Hu
Xi Yang
Qiufeng Wang
Chao Huang
Kaizhu Huang
239
7
0
14 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
Hanxi Li
Jing Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Mingwen Wang
Peng Wang
ViT
393
4
0
06 Jun 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection
Computers & security (Comput. Secur.), 2023
Rahul Kale
V. Thing
160
14
0
15 Apr 2023
Explainable Intrusion Detection Systems Using Competitive Learning Techniques
Jesse Ables
Thomas Kirby
Sudip Mittal
I. Banicescu
Shahram Rahimi
William Anderson
Maria Seale
213
1
0
30 Mar 2023
Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
644
6
0
13 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Guoyang Xie
Jinbao Wang
Jiaqi Liu
Jiayi Lyu
Wenshu Fan
Chengjie Wang
Feng Zheng
Yaochu Jin
VLM
341
107
0
31 Jan 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
International Conference on Learning Representations (ICLR), 2023
Guoyang Xie
Jingbao Wang
Jiaqi Liu
Feng Zheng
Yaochu Jin
313
92
0
28 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey
Machine Intelligence Research (MIR), 2023
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
404
307
0
27 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Computer Vision and Pattern Recognition (CVPR), 2022
H. Zhang
Zuxuan Wu
Liang Luo
Zhineng Chen
Yuwei Jiang
UQCV
AI4TS
249
99
0
05 Dec 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Expert systems with applications (ESWA), 2022
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chaoxi Zhang
3DPC
271
18
0
31 Oct 2022
A Survey on Explainable Anomaly Detection
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Zhong Li
Yuxuan Zhu
M. Leeuwen
344
132
0
13 Oct 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
International journal of pattern recognition and artificial intelligence (IJPRAI), 2022
Yaohua Guo
Lijuan Song
Zirui Ma
222
0
0
15 Sep 2022
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces
Iñigo López-Riobóo Botana
Carlos Eiras-Franco
Julio César Hernández Castro
Amparo Alonso-Betanzos
282
1
0
09 Sep 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
European Conference on Computer Vision (ECCV), 2022
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
Klara Nahrstedt
138
13
0
24 Jul 2022
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Jesse Ables
Thomas Kirby
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
252
20
0
15 Jul 2022
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