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Self-Tuning Self-Supervised Image Anomaly Detection
v1v2v3 (latest)

Self-Tuning Self-Supervised Image Anomaly Detection

21 June 2023
Jaemin Yoo
Lingxiao Zhao
Leman Akoglu
ArXiv (abs)PDFHTML

Papers citing "Self-Tuning Self-Supervised Image Anomaly Detection"

31 / 31 papers shown
Title
DSV: An Alignment Validation Loss for Self-supervised Outlier Model
  Selection
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection
Jaemin Yoo
Yue Zhao
Lingxiao Zhao
Leman Akoglu
47
6
0
13 Jul 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou
Qian Li
Chen Li
Jun Yu
Yixin Liu
...
P. Xie
Caiming Xiong
Jian Pei
Philip S. Yu
U. Chicago
AI4CE
177
546
0
18 Feb 2023
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision
  for Unsupervised Anomaly Detection is Creating the Illusion of Success
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success
Jaemin Yoo
Tianchen Zhao
Leman Akoglu
154
8
0
16 Aug 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a
  Scalable Hyper-Ensemble Solution
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding
Lingxiao Zhao
Leman Akoglu
OODD
88
24
0
15 Jun 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Edouard Grave
ViT
142
434
0
14 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
104
125
0
28 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
918
8,127
0
11 Nov 2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
146
226
0
06 Oct 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
150
426
0
27 Jul 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner
Alexander Kolesnikov
Xiaohua Zhai
Ross Wightman
Jakob Uszkoreit
Lucas Beyer
ViT
193
660
0
18 Jun 2021
Masked Contrastive Learning for Anomaly Detection
Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho
Jinseok Seol
Sang-goo Lee
SSL
75
43
0
18 May 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Chang Jo Kim
Tomas Pfister
SSLUQCV
113
821
0
08 Apr 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Chen Qiu
Timo Pfrommer
Marius Kloft
Stephan Mandt
Maja R. Rudolph
ViTAI4TS
83
134
0
30 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
137
351
0
22 Mar 2021
Self-supervised Pretraining of Visual Features in the Wild
Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
...
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
VLMSSL
133
278
0
02 Mar 2021
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
157
615
0
16 Jul 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
261
1,679
0
15 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.4K
43,807
0
28 May 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
177
245
0
28 May 2020
Classification-Based Anomaly Detection for General Data
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
115
356
0
05 May 2020
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
255
6,713
0
05 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
467
3,559
0
30 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
125
518
0
26 Sep 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
260
1,508
0
11 Dec 2018
Adversarially Learned Anomaly Detection
Adversarially Learned Anomaly Detection
Houssam Zenati
Manon Romain
Chuan-Sheng Foo
Bruno Lecouat
V. Chandrasekhar
GAN
93
406
0
06 Dec 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
151
610
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
168
1,425
0
17 May 2018
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
289
3,818
0
15 Aug 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.9K
197,075
0
10 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
539
7,451
0
05 Jun 2015
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
328
2,391
0
15 May 2008
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