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Fine-grained Anomaly Detection via Multi-task Self-Supervision

Fine-grained Anomaly Detection via Multi-task Self-Supervision

20 April 2021
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
ArXivPDFHTML

Papers citing "Fine-grained Anomaly Detection via Multi-task Self-Supervision"

25 / 25 papers shown
Title
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Mohammadreza Salehi
Ainaz Eftekhar
Niousha Sadjadi
M. Rohban
Hamid R. Rabiee
AAML
99
43
0
29 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally
  Shifted Instances
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
51
598
0
16 Jul 2020
Video Anomaly Detection for Smart Surveillance
Video Anomaly Detection for Smart Surveillance
Sijie Zhu
Chong Chen
Waqas Sultani
87
35
0
01 Apr 2020
DROCC: Deep Robust One-Class Classification
DROCC: Deep Robust One-Class Classification
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
VLM
57
163
0
28 Feb 2020
Deep Anomaly Detection with Deviation Networks
Deep Anomaly Detection with Deviation Networks
Guansong Pang
Chunhua Shen
Anton Van Den Hengel
65
354
0
19 Nov 2019
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
47
943
0
28 Jun 2019
Deep Semi-Supervised Anomaly Detection
Deep Semi-Supervised Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Nico Görnitz
Alexander Binder
Emmanuel Müller
K. Müller
Marius Kloft
UQCV
54
544
0
06 Jun 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
64
146
0
30 Apr 2019
Deep Tree Learning for Zero-shot Face Anti-Spoofing
Deep Tree Learning for Zero-shot Face Anti-Spoofing
Yaojie Liu
J. Stehouwer
Amin Jourabloo
Xiaoming Liu
CVBM
44
236
0
05 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent
  Representations
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
108
525
0
20 Mar 2019
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
72
1,628
0
25 Nov 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
74
605
0
28 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
71
1,386
0
17 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
225
3,282
0
21 Mar 2018
Detection of Adversarial Training Examples in Poisoning Attacks through
  Anomaly Detection
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice
Luis Muñoz-González
András Gyorgy
Emil C. Lupu
AAML
58
145
0
08 Feb 2018
Real-world Anomaly Detection in Surveillance Videos
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani
Chen Chen
M. Shah
AI4TS
146
1,476
0
12 Jan 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
226
8,856
0
25 Aug 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
75
2,223
0
17 Mar 2017
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
163
2,503
0
16 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
299
7,967
0
23 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
62
5,286
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
152
2,978
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
122
3,530
0
28 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
406
16,947
0
20 Dec 2013
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