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Deep Anomaly Detection Using Geometric Transformations

Deep Anomaly Detection Using Geometric Transformations

28 May 2018
I. Golan
Ran El-Yaniv
ArXivPDFHTML

Papers citing "Deep Anomaly Detection Using Geometric Transformations"

50 / 94 papers shown
Title
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
44
3
0
17 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
Aitor Sánchez-Ferrera
Borja Calvo
Jose A. Lozano
AI4TS
37
0
0
28 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
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
Improved AutoEncoder with LSTM module and KL divergence
Improved AutoEncoder with LSTM module and KL divergence
Wei Huang
Bingyang Zhang
Kaituo Zhang
Hua Gao
Rongchun Wan
23
1
0
30 Apr 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
39
9
0
29 Feb 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
32
3
0
25 Dec 2023
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
32
0
0
24 Nov 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
24
12
0
09 Oct 2023
Understanding the limitations of self-supervised learning for tabular
  anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
SSL
29
0
0
15 Sep 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
Cesar Cadena
22
8
0
28 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
Jaemin Yoo
Lingxiao Zhao
L. Akoglu
30
4
0
21 Jun 2023
Imbalanced Aircraft Data Anomaly Detection
Imbalanced Aircraft Data Anomaly Detection
Hao Yang
Junyuan Gao
Yuan. Yuan
Xuelong Li
AI4TS
19
4
0
17 May 2023
AGAD: Adversarial Generative Anomaly Detection
AGAD: Adversarial Generative Anomaly Detection
Jian Shi
Ni Zhang
21
0
0
09 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for
  Anomaly Detection and Localization
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
WenPing Jin
Fei-Yu Guo
Li Zhu
ViT
MedIm
34
1
0
30 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
Deep Anomaly Detection under Labeling Budget Constraints
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
38
13
0
15 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution
  Detection
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection
Menglong Chen
Xingtai Gui
Shicai Fan
OODD
13
1
0
06 Feb 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim
Jaesung Hwang
Jongjin Lee
Kunwoong Kim
Yongdai Kim
OODD
26
1
0
11 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
AI4CE
26
7
0
03 Jan 2023
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan Ö. Arik
Tomas Pfister
29
7
0
30 Nov 2022
Vanishing Component Analysis with Contrastive Normalization
Vanishing Component Analysis with Contrastive Normalization
R. Masuya
Yuichi Ike
Hiroshi Kera
19
0
0
27 Oct 2022
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu
Bing Li
Zhu Zhao
Xiaoyu Du
Bin Jiang
Leqi Geng
28
35
0
26 Oct 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
Anomaly Detection in Aerial Videos with Transformers
Anomaly Detection in Aerial Videos with Transformers
P. Jin
Lichao Mou
Guisong Xia
Xiao Xiang Zhu
ViT
AI4TS
27
22
0
25 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation
  Methods
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Matthew Baugh
Jeremy Tan
Athanasios Vlontzos
Johanna P. Müller
Bernhard Kainz
OOD
18
2
0
02 Sep 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly
  Detection
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
Yongjun Wang
Guansong Pang
AI4TS
21
40
0
25 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
24
6
0
19 Jul 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya-Qin Zhang
Michael W. Spratling
Yanfeng Wang
27
142
0
15 Jul 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff K. Nkashama
Ariana Soltani
Jean-Charles Verdier
Marc Frappier
Pierre-Marting Tardif
F. Kabanza
OOD
AAML
21
5
0
25 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD
  Training Data Estimate a Combination of the Same Core Quantities
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
Julian Bitterwolf
Alexander Meinke
Maximilian Augustin
Matthias Hein
OODD
15
25
0
20 Jun 2022
Which models are innately best at uncertainty estimation?
Which models are innately best at uncertainty estimation?
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
34
5
0
05 Jun 2022
Attack-Agnostic Adversarial Detection
Attack-Agnostic Adversarial Detection
Jiaxin Cheng
Mohamed Hussein
J. Billa
Wael AbdAlmageed
AAML
20
0
0
01 Jun 2022
Raising the Bar in Graph-level Anomaly Detection
Raising the Bar in Graph-level Anomaly Detection
Chen Qiu
Marius Kloft
Stephan Mandt
Maja R. Rudolph
32
61
0
27 May 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and
  Localization
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Chaoqin Huang
Qinwei Xu
Yanfeng Wang
Yu Wang
Ya-Qin Zhang
37
66
0
13 May 2022
Unsupervised Word Segmentation using K Nearest Neighbors
Unsupervised Word Segmentation using K Nearest Neighbors
T. Fuchs
Yedid Hoshen
Joseph Keshet
SSL
22
6
0
27 Apr 2022
OCFormer: One-Class Transformer Network for Image Classification
OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee
C. Roy
S. K. Roy
ViT
17
1
0
25 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
24
7
0
23 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous
  Sound Detection
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection
Bingqing Chen
Luca Bondi
Samarjit Das
62
7
0
05 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
21
112
0
28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
40
3
0
19 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
M. Pagnucco
Yang Song
AI4TS
29
19
0
10 Mar 2022
Self-Supervised and Interpretable Anomaly Detection using Network
  Transformers
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino
Chathurika S. Wickramasinghe
C. Rieger
Milos Manic
29
8
0
25 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features
Time Series Anomaly Detection by Cumulative Radon Features
Yedid Hoshen
AI4TS
11
2
0
08 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
117
448
0
26 Jan 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based
  Novelty Detection and Active Learning
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning
Hao-Chiang Shao
Hsing-Lei Ping
Kuo-shiuan Chen
Weng-Tai Su
Chia-Wen Lin
Shao-Yun Fang
Pin-Yian Tsai
Yan-Hsiu Liu
30
7
0
24 Jan 2022
Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
19
0
0
01 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
27
6
0
26 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
29
19
0
24 Nov 2021
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