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Puzzle-AE: Novelty Detection in Images through Solving Puzzles
v1v2v3v4v5 (latest)

Puzzle-AE: Novelty Detection in Images through Solving Puzzles

29 August 2020
Mohammadreza Salehi
Ainaz Eftekhar
Niousha Sadjadi
M. Rohban
Hamid R. Rabiee
    AAML
ArXiv (abs)PDFHTML

Papers citing "Puzzle-AE: Novelty Detection in Images through Solving Puzzles"

19 / 19 papers shown
Precursor-of-Anomaly Detection for Irregular Time Series
Precursor-of-Anomaly Detection for Irregular Time SeriesKnowledge Discovery and Data Mining (KDD), 2023
Sheo Yon Jhin
Jaehoon Lee
Noseong Park
AI4TS
219
23
0
27 Jun 2023
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the
  Lens of Anomaly Detection
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection
Ali Garjani
Atoosa Malemir Chegini
Mohammadreza Salehi
A. Tabibzadeh
Parastoo Yousefi
M. Razizadeh
Moein Esghaei
Maryam Esghaei
M. Rohban
172
0
0
25 Oct 2022
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly
  Detection
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Peng-Fei Xing
Hao Tang
Jinhui Tang
Zechao Li
485
17
0
19 Oct 2022
Visual Anomaly Detection Via Partition Memory Bank Module and Error
  Estimation
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
Peng-Fei Xing
Zechao Li
350
56
0
26 Sep 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty
  Detection
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei
Mohammadreza Salehi
Sajjad Shahabi
E. Gavves
Cees G. M. Snoek
Mohammad Sabokrou
M. Rohban
OOD
315
6
0
28 May 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
525
90
0
24 Apr 2022
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly DetectionIEEE Transactions on Image Processing (IEEE TIP), 2022
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
466
206
0
01 Mar 2022
Transformaly -- Two (Feature Spaces) Are Better Than One
Transformaly -- Two (Feature Spaces) Are Better Than One
M. Cohen
S. Avidan
ViT
273
35
0
08 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Data Invariants to Understand Unsupervised Out-of-Distribution DetectionEuropean Conference on Computer Vision (ECCV), 2021
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
280
7
0
26 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
375
25
0
24 Nov 2021
PEDENet: Image Anomaly Localization via Patch Embedding and Density
  Estimation
PEDENet: Image Anomaly Localization via Patch Embedding and Density EstimationPattern Recognition Letters (PR), 2021
Kaitai Zhang
Bin Wang
C.-C. Jay Kuo
137
27
0
29 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Shouqing Yang
M. Rohban
Mohammad Sabokrou
OOD
764
234
0
26 Oct 2021
Visual Anomaly Detection for Images: A Survey
Visual Anomaly Detection for Images: A Survey
Jie Yang
Rui Xu
Zhiquan Qi
Yong Shi
196
40
0
27 Sep 2021
Adversarially Robust One-class Novelty Detection
Adversarially Robust One-class Novelty DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shao-Yuan Lo
Poojan Oza
Vishal M. Patel
AAML
287
42
0
25 Aug 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Fine-grained Anomaly Detection via Multi-task Self-SupervisionAdvanced Video and Signal Based Surveillance (AVSS), 2021
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
347
6
0
20 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2021
Chun-Liang Li
Kihyuk Sohn
Chang Jo Kim
Tomas Pfister
SSLUQCV
389
1,107
0
08 Apr 2021
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies
M. PourReza
Mohammadreza Salehi
Mohammad Sabokrou
482
14
0
18 Mar 2021
Multiresolution Knowledge Distillation for Anomaly Detection
Multiresolution Knowledge Distillation for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2020
Mohammadreza Salehi
Niousha Sadjadi
Soroosh Baselizadeh
M. Rohban
Hamid R. Rabiee
540
616
0
22 Nov 2020
Multimodal Self-Supervised Learning for Medical Image Analysis
Multimodal Self-Supervised Learning for Medical Image AnalysisInformation Processing in Medical Imaging (IPMI), 2019
Aiham Taleb
Christoph Lippert
T. Klein
Moin Nabi
SSL
479
129
0
11 Dec 2019
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