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NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly
  Generation

NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation

20 November 2023
Hao Dong
Gaëtan Frusque
Yue Zhao
Eleni Chatzi
Olga Fink
    AAML
ArXivPDFHTML

Papers citing "NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation"

5 / 5 papers shown
Title
Learning Multi-view Multi-class Anomaly Detection
Learning Multi-view Multi-class Anomaly Detection
Qianzi Yu
Yang Cao
Yu Kang
43
0
0
30 Apr 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
78
1
0
18 Dec 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong
Yue Zhao
Eleni Chatzi
Olga Fink
OODD
19
3
0
27 May 2024
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A
  focus-SVDD with Complex-Valued Auto-Encoder Approach
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach
Gaëtan Frusque
D. Mitchell
J. Blanche
David Flynn
Olga Fink
9
8
0
19 Jun 2023
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly
  Detection
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
Yingjie Zhou
Xuchen Song
Yanru Zhang
Fanxing Liu
Ce Zhu
Lingqiao Liu
UQCV
17
100
0
22 May 2021
1