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Unveiling the Anomalies in an Ever-Changing World: A Benchmark for
  Pixel-Level Anomaly Detection in Continual Learning

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning

19 March 2024
Nikola Bugarin
Jovana Bugaric
Manuel Barusco
Davide Dalle Pezze
Gian Antonio Susto
ArXiv (abs)PDFHTML

Papers citing "Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning"

18 / 18 papers shown
Title
Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han
Jian Liu
KELMCLL
93
10
0
12 Sep 2022
A Benchmark and Empirical Analysis for Replay Strategies in Continual
  Learning
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning
Qihan Yang
Fan Feng
Rosa H. M. Chan
87
9
0
04 Aug 2022
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement
  Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo
Yuxin Wang
Kun Dong
Qiaosheng Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
62
18
0
01 Aug 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
105
195
0
09 Jun 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D
  Normalizing Flows
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Jiawei Yu1
Ye Zheng
Xiang Wang
Wei Li
Yushuang Wu
Rui Zhao
Liwei Wu
63
312
0
15 Nov 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via
  Conditional Normalizing Flows
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis A. Gudovskiy
Shun Ishizaka
Kazuki Kozuka
112
404
0
27 Jul 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
88
919
0
15 Jun 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang
Shumin Han
Errui Ding
Di Huang
73
220
0
07 Mar 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and
  Localization
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard
Aleksandr Setkov
Angélique Loesch
Romaric Audigier
UQCV
79
847
0
17 Nov 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
45
153
0
12 Oct 2020
ARCADe: A Rapid Continual Anomaly Detector
ARCADe: A Rapid Continual Anomaly Detector
A. Frikha
Denis Krompass
Volker Tresp
47
11
0
10 Aug 2020
SpaceNet: Make Free Space For Continual Learning
SpaceNet: Make Free Space For Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
64
81
0
15 Jul 2020
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
99
895
0
15 Apr 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,171
0
28 Nov 2018
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
75
880
0
30 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
372
7,561
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
304
4,428
0
29 Jun 2016
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
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