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GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

17 May 2018
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
    GAN
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Papers citing "GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training"

50 / 87 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
42
3
0
17 Feb 2025
Point Cloud Novelty Detection Based on Latent Representations of a
  General Feature Extractor
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor
Shizuka Akahori
S. Iizuka
Ken Mawatari
Kazuhiro Fukui
3DPC
32
1
0
13 Oct 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
33
1
0
21 Aug 2024
Historical Printed Ornaments: Dataset and Tasks
Historical Printed Ornaments: Dataset and Tasks
Sayan Kumar Chaki
Z. S. Baltaci
Elliot Vincent
Remi Emonet
Fabienne Vial-Bonacci
Christelle Bahier-Porte
Mathieu Aubry
Thierry Fournel
37
0
0
16 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
32
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
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
59
7
0
23 May 2024
Spatial-aware Attention Generative Adversarial Network for
  Semi-supervised Anomaly Detection in Medical Image
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Zerui Zhang
Zhichao Sun
Zelong Liu
Bo Du
Rui Yu
Zhou Zhao
Yongchao Xu
GAN
MedIm
33
3
0
21 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
34
0
0
10 May 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
33
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
42
44
0
19 Mar 2024
Expert enhanced dynamic time warping based anomaly detection
Expert enhanced dynamic time warping based anomaly detection
Matej Kloska
Gabriela Grmanová
Viera Rozinajová
10
20
0
02 Oct 2023
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on
  NISQ Computers
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Daniel Silver
Tirthak Patel
William Cutler
Aditya Ranjan
Harshitta Gandhi
Devesh Tiwari
GAN
9
12
0
22 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
Feasibility of Universal Anomaly Detection without Knowing the
  Abnormality in Medical Images
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
C. Cui
Yaohong Wang
Shunxing Bao
Yucheng Tang
Ruining Deng
...
Qi Liu
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
OOD
23
0
0
03 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
24
4
0
21 Jun 2023
Unsupervised Anomaly Detection and Localization of Machine Audio: A
  GAN-based Approach
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach
Anbai Jiang
Weiqiang Zhang
Yufeng Deng
Pingyi Fan
Jia-Wei Liu
8
17
0
31 Mar 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
32
1
0
30 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
30
129
0
25 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
40
26
0
24 Mar 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Johanna P. Müller
Matthew Baugh
Jeremy Tan
Mischa Dombrowski
Bernhard Kainz
UQCV
OOD
16
4
0
23 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with
  Limited Tumorous Data
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He
Xingyu Li
MedIm
25
2
0
18 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
15
4
0
20 Feb 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing
  Unannotated T1-weighted Brain MR Images
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
M. R. Siddiquee
Jay Shah
Teresa Wu
C. Chong
T. Schwedt
Gina M. Dumkrieger
S. Nikolova
Baoxin Li
MedIm
25
11
0
18 Feb 2023
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
24
62
0
05 Dec 2022
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion
  Detection
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection
Rahul Kale
Zhi Lu
K. Fok
V. Thing
14
19
0
02 Dec 2022
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
19
7
0
30 Nov 2022
Detecting Anomalies using Generative Adversarial Networks on Images
Detecting Anomalies using Generative Adversarial Networks on Images
Rushikesh Zawar
Krupa Bhayani
Neelanjan Bhowmik
K. Tiwari
Dhiraj Sangwan
GAN
10
2
0
24 Nov 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
29
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
22
17
0
22 Nov 2022
Generalizable Industrial Visual Anomaly Detection with Self-Induction
  Vision Transformer
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer
Haiming Yao
Wenyong Yu
ViT
20
5
0
22 Nov 2022
Normal Reference Attention and Defective Feature Perception Network for
  Surface Defect Detection
Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection
Wei Luo
Haiming Yao
Wenyong Yu
24
15
0
18 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
20
0
0
16 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
20
9
0
01 Nov 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few
  Normal Samples
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chaoxi Zhang
3DPC
21
12
0
31 Oct 2022
Connective Reconstruction-based Novelty Detection
Connective Reconstruction-based Novelty Detection
Seyyed Morteza Hashemi
Parvaneh Aliniya
Parvin Razzaghi
OODD
12
0
0
25 Oct 2022
Learning image representations for anomaly detection: application to
  discovery of histological alterations in drug development
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
I. Zingman
B. Stierstorfer
C. Lempp
Fabian Heinemann
OOD
MedIm
22
11
0
14 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
16
29
0
14 Oct 2022
DEGAN: Time Series Anomaly Detection using Generative Adversarial
  Network Discriminators and Density Estimation
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation
Yueyang Gu
F. Jazizadeh
AI4TS
15
0
0
05 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
20
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
17
22
0
25 Sep 2022
DSR -- A dual subspace re-projection network for surface anomaly
  detection
DSR -- A dual subspace re-projection network for surface anomaly detection
Vitjan Zavrtanik
Matej Kristan
D. Skočaj
6
100
0
02 Aug 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
14
142
0
15 Jul 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
27
295
0
19 Jun 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
Shuo Li
Xiayan Ji
Edgar Dobriban
O. Sokolsky
Insup Lee
8
14
0
22 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network
  Anomaly Detection
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection
W. T. Lunardi
Martin Andreoni Lopez
J. Giacalone
8
22
0
03 May 2022
Semi-supervised anomaly detection algorithm based on KL divergence
  (SAD-KL)
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL)
C. Lee
Kibae Lee
19
4
0
28 Mar 2022
Driving Anomaly Detection Using Conditional Generative Adversarial
  Network
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Yuning Qiu
Teruhisa Misu
Carlos Busso
22
4
0
15 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
16
34
0
09 Mar 2022
Anomalib: A Deep Learning Library for Anomaly Detection
Anomalib: A Deep Learning Library for Anomaly Detection
S. Akçay
Dick Ameln
Ashwin Vaidya
B. Lakshmanan
Nilesh A. Ahuja
Ergin Utku Genc
14
106
0
16 Feb 2022
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