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  3. 1911.02357
  4. Cited By
Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings

Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

6 November 2019
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
ArXivPDFHTML

Papers citing "Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings"

15 / 115 papers shown
Title
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
44
18
0
09 Aug 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
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly
  Segmentation
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
Jin-Hwa Kim
Do-Hyeong Kim
Saehoon Yi
Taehoon Lee
24
53
0
31 May 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using
  Image-to-Image Translation
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Štepec
D. Skočaj
MedIm
35
12
0
28 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully
  supervised learning
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Jakob Bozic
Domen Tabernik
D. Skočaj
14
247
0
13 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Jinsung Yoon
Tomas Pfister
SSL
UQCV
27
754
0
08 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
J. Song
Kyeongbo Kong
Ye In Park
Suk-Ju Kang
19
3
0
31 Mar 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
39
29
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
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
30
96
0
25 Jan 2021
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
SSL
36
255
0
15 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
24
247
0
12 Oct 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,851
0
09 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
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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