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Towards Total Recall in Industrial Anomaly Detection

Towards Total Recall in Industrial Anomaly Detection

15 June 2021
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
    UQCV
ArXivPDFHTML

Papers citing "Towards Total Recall in Industrial Anomaly Detection"

24 / 124 papers shown
Title
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
33
11
0
18 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
29
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
41
1
0
30 Jan 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate
  Surface Visual Quality Inspection Tailored for Real-World Manufacturing
  Environments
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
26
2
0
20 Dec 2022
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time
  Clustering for OCTA Image Quality Assessment
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Juntao Chen
Li Lin
Pujin Cheng
Yijin Huang
Xiaoying Tang
19
2
0
20 Dec 2022
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Zihan 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
Anomaly Detection via Multi-Scale Contrasted Memory
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
27
0
0
16 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
29
12
0
31 Oct 2022
AltUB: Alternating Training Method to Update Base Distribution of
  Normalizing Flow for Anomaly Detection
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim
Huiwon Jang
Dongkeon Lee
Ho-Jin Choi
35
9
0
26 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
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
27
11
0
14 Oct 2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly
  Detection
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
ViT
MedIm
261
61
0
25 Sep 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya Zhang
Michael W. Spratling
Yanfeng Wang
30
142
0
15 Jul 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Alexander Bauer
Shinichi Nakajima
Klaus-Robert Müller
24
9
0
23 Jun 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
21
179
0
09 Jun 2022
[Reproducibility Report] Explainable Deep One-Class Classification
[Reproducibility Report] Explainable Deep One-Class Classification
João P C Bertoldo
Etienne Decencière
23
0
0
06 Jun 2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu
Yunlong Zhang
Liyan Sun
Chenxin Li
Yue Huang
Xinghao Ding
MedIm
33
11
0
17 Apr 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
36
109
0
16 Feb 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly
  Types
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types
Kihyuk Sohn
Jinsung Yoon
Chun-Liang Li
Chen-Yu Lee
Tomas Pfister
22
18
0
21 Dec 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
25
2
0
28 Sep 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
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