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1805.10917
Cited By
Deep Anomaly Detection Using Geometric Transformations
28 May 2018
I. Golan
Ran El-Yaniv
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Papers citing
"Deep Anomaly Detection Using Geometric Transformations"
44 / 94 papers shown
Title
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification
Long Gao
Chang Liu
Dooman Arefan
A. Panigrahy
M. Zuley
Shandong Wu
VLM
23
2
0
20 Nov 2021
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
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
877
0
21 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
20
2
0
28 Sep 2021
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
Jedrzej Kozerawski
M. Turk
VLM
MQ
27
5
0
14 Sep 2021
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
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
Dongyang Li
Lin Yang
Hongguang Zhang
Xiaolei Wang
Linru Ma
Junchao Xiao
21
12
0
24 Aug 2021
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
Oliver Rippel
Arnav Chavan
Chucai Lei
Dorit Merhof
44
18
0
09 Aug 2021
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
Pierre Gutierrez
Antoine Cordier
Thais Caldeira
Théophile Sautory
18
4
0
02 Jun 2021
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
Andrei Manolache
Florin Brad
Elena Burceanu
UQCV
30
33
0
12 Apr 2021
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
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
A. Spahr
Behzad Bozorgtabar
Jean-Philippe Thiran
19
16
0
19 Feb 2021
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
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
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
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
14
247
0
12 Oct 2020
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
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
52
142
0
24 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
36
383
0
29 Jun 2020
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
E. Reyes
P. Estévez
24
11
0
15 May 2020
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
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
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
Wen-Yan Lin
9
0
0
15 Mar 2020
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
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
VLM
17
159
0
28 Feb 2020
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
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
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
Neema Davis
G. Raina
Krishna Jagannathan
AI4TS
8
26
0
20 Nov 2019
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
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
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
Poojan Oza
Vishal M. Patel
16
35
0
07 Mar 2019
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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