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Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

1 August 2021
Guansong Pang
Choubo Ding
Chunhua Shen
Anton Van Den Hengel
ArXiv (abs)PDFHTML

Papers citing "Explainable Deep Few-shot Anomaly Detection with Deviation Networks"

9 / 59 papers shown
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and OpportunitiesIEEE Access (IEEE Access), 2022
Subash Neupane
Jesse Ables
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
AAML
320
129
0
13 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for
  Supervised Anomaly Detection
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Xincheng Yao
Ruoqing Li
Jing Zhang
Jun Sun
Chongyang Zhang
261
102
0
04 Jul 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection BenchmarkNeural Information Processing Systems (NeurIPS), 2022
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
354
383
0
19 Jun 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial
  Images
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial ImagesIEEE Access (IEEE Access), 2022
Yajie Cui
Zhaoxiang Liu
Kai Wang
OODDRL
470
79
0
24 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
279
162
0
28 Mar 2022
LesionPaste: One-Shot Anomaly Detection for Medical Images
LesionPaste: One-Shot Anomaly Detection for Medical Images
Weikai Huang
Yijin Huang
Xiaoying Tang
MedIm
150
2
0
12 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
167
0
0
25 Feb 2022
Trustworthy Anomaly Detection: A Survey
Trustworthy Anomaly Detection: A Survey
Shuhan Yuan
Xintao Wu
FaML
285
10
0
15 Feb 2022
Deep Weakly-supervised Anomaly Detection
Deep Weakly-supervised Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2019
Guansong Pang
Chunhua Shen
Huidong Jin
Anton van den Hengel
236
120
0
30 Oct 2019
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