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2109.01303
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Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images
3 September 2021
Yu Tian
Fengbei Liu
Guansong Pang
Yuanhong Chen
Yuyuan Liu
Johan Verjans
Rajvinder Singh
G. Carneiro
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Papers citing
"Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images"
24 / 24 papers shown
Title
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
Simon Damm
M. Laszkiewicz
Johannes Lederer
Asja Fischer
69
7
0
23 May 2024
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Yuyuan Liu
Choubo Ding
Yu Tian
Guansong Pang
Vasileios Belagiannis
Ian Reid
G. Carneiro
OODD
56
40
0
26 Nov 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Chong Wang
Yuanhong Chen
Yuyuan Liu
Yu Tian
Fengbei Liu
Davis J. McCarthy
M. Elliott
Helen Frazer
G. Carneiro
71
20
0
26 Sep 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
Yuanhong Chen
Hu Wang
Chong Wang
Yu Tian
Fengbei Liu
M. Elliott
Davis J. McCarthy
Helen Frazer
G. Carneiro
90
20
0
21 Sep 2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
Yuyuan Liu
Yu Tian
Chong Wang
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
3DV
129
16
0
28 Mar 2022
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder
Yu Tian
Guansong Pang
Yuyuan Liu
Chong Wang
Yuanhong Chen
Fengbei Liu
Rajvinder Singh
Johan Verjans
Mengyu Wang
G. Carneiro
ViT
76
24
0
22 Mar 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
150
133
0
30 Sep 2021
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge
Frauke Wilm
Christian Marzahl
Katharina Breininger
Marc Aubreville
36
13
0
25 Aug 2021
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss
Yedid Hoshen
65
118
0
07 Jun 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
66
301
0
25 Jan 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard
Aleksandr Setkov
Angélique Loesch
Romaric Audigier
UQCV
75
837
0
17 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
61
251
0
12 Oct 2020
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
169
920
0
06 Jul 2020
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy
Fengbei Liu
Y. Jonmohamadi
Gabriel Maicas
Ajay K. Pandey
G. Carneiro
36
16
0
05 Jul 2020
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
Christoph Baur
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
53
37
0
23 Jun 2020
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
47
350
0
05 May 2020
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
141
4,532
0
23 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
99
2,502
0
22 Mar 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
177
12,065
0
13 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
72
663
0
06 Nov 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
604
4,766
0
13 May 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
108
525
0
20 Mar 2019
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
86
606
0
28 May 2018
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
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