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Deep Anomaly Detection Using Geometric Transformations

Deep Anomaly Detection Using Geometric Transformations

28 May 2018
I. Golan
Ran El-Yaniv
ArXivPDFHTML

Papers citing "Deep Anomaly Detection Using Geometric Transformations"

42 / 92 papers shown
Title
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on
  Data Contamination
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination
Jongmin Yu
Hyeontaek Oh
Minkyung Kim
Junsik Kim
22
10
0
28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
877
0
21 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
271
0
18 Oct 2021
Visual Anomaly Detection for Images: A Survey
Visual Anomaly Detection for Images: A Survey
Jie Yang
Rui Xu
Zhiquan Qi
Yong Shi
25
35
0
27 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
Zhiwei Zhang
Yu Dong
Hanyu Peng
Shifeng Chen
29
0
0
15 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski
M. Turk
VLM
MQ
27
5
0
14 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification
  Networks
Generatively Augmented Neural Network Watchdog for Image Classification Networks
Justin Bui
Glauco A. Amigo
R. Marks
34
0
0
07 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
11
80
0
25 Aug 2021
Image-based Insider Threat Detection via Geometric Transformation
Image-based Insider Threat Detection via Geometric Transformation
Dongyang Li
Lin Yang
Hongguang Zhang
Xiaolei Wang
Linru Ma
Junchao Xiao
21
12
0
24 Aug 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
21
34
0
18 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning
  Representations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
Oliver Rippel
Arnav Chavan
Chucai Lei
Dorit Merhof
41
18
0
09 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly
  Detection
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Jinlei Hou
Yingying Zhang
Qiaoyong Zhong
Di Xie
Shiliang Pu
Hong Zhou
27
142
0
28 Jul 2021
Data augmentation and pre-trained networks for extremely low data
  regimes unsupervised visual inspection
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
Pierre Gutierrez
Antoine Cordier
Thais Caldeira
Théophile Sautory
18
4
0
02 Jun 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
30
6
0
20 Apr 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
Andrei Manolache
Florin Brad
Elena Burceanu
UQCV
30
33
0
12 Apr 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
31
330
0
22 Mar 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
23
214
0
07 Mar 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
A. Spahr
Behzad Bozorgtabar
Jean-Philippe Thiran
19
16
0
19 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen
Yu Tian
Guansong Pang
G. Carneiro
VLM
27
96
0
25 Jan 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
27
12
0
09 Dec 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Abinav Ravi Venkatakrishnan
S. T. Kim
R. Eisawy
Franz MJ Pfister
Nassir Navab
OOD
19
22
0
10 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
14
247
0
12 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
28
4
0
05 Oct 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
52
142
0
24 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
33
383
0
29 Jun 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
27
236
0
28 May 2020
Transformation Based Deep Anomaly Detection in Astronomical Images
Transformation Based Deep Anomaly Detection in Astronomical Images
E. Reyes
P. Estévez
24
11
0
15 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model
  Uncertainty for Anomaly Detection
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Seonho Park
George Adosoglou
P. Pardalos
DRL
UQCV
34
16
0
05 May 2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D
  Object Recognition
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
Markus Vincze
29
33
0
21 Apr 2020
Anomalous Example Detection in Deep Learning: A Survey
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Bo-wen Li
P. Varshney
D. Song
AAML
28
47
0
16 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions
Hierarchical Models: Intrinsic Separability in High Dimensions
Wen-Yan Lin
9
0
0
15 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like
  Autoencoder
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder
Natasa Sarafijanovic-Djukic
Jesse Davis
22
24
0
12 Mar 2020
DROCC: Deep Robust One-Class Classification
DROCC: Deep Robust One-Class Classification
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
VLM
17
159
0
28 Feb 2020
Deep Nearest Neighbor Anomaly Detection
Deep Nearest Neighbor Anomaly Detection
Liron Bergman
Niv Cohen
Yedid Hoshen
UQCV
22
155
0
24 Feb 2020
Anomaly Detection by One Class Latent Regularized Networks
Anomaly Detection by One Class Latent Regularized Networks
Chengwei Chen
Pan Chen
Haichuan Song
Y. Tao
Yuan Xie
Shouhong Ding
Lizhuang Ma
GAN
14
0
0
05 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class
  Classification
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Penny Chong
Lukas Ruff
Marius Kloft
Alexander Binder
29
35
0
24 Jan 2020
A Framework for End-to-End Deep Learning-Based Anomaly Detection in
  Transportation Networks
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
Neema Davis
G. Raina
Krishna Jagannathan
AI4TS
8
26
0
20 Nov 2019
Out-of-domain Detection for Natural Language Understanding in Dialog
  Systems
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
Yinhe Zheng
Guanyi Chen
Minlie Huang
18
121
0
09 Sep 2019
Bin-wise Temperature Scaling (BTS): Improvement in Confidence
  Calibration Performance through Simple Scaling Techniques
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques
Byeongmoon Ji
Hyemin Jung
Jihyeun Yoon
Kyungyul Kim
Younghak Shin
UQCV
11
24
0
30 Aug 2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net
Exploring Deep Anomaly Detection Methods Based on Capsule Net
Xiaoyan Li
I. Kiringa
T. Yeap
Xiao-Dan Zhu
Yifeng Li
UQCV
3DPC
29
20
0
15 Jul 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition
Deep CNN-based Multi-task Learning for Open-Set Recognition
Poojan Oza
Vishal M. Patel
16
35
0
07 Mar 2019
Revealing quantum chaos with machine learning
Revealing quantum chaos with machine learning
Y. Kharkov
V. E. Sotskov
A. A. Karazeev
E. Kiktenko
A. Fedorov
AI4CE
17
27
0
25 Feb 2019
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