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Anomalib: A Deep Learning Library for Anomaly Detection

Anomalib: A Deep Learning Library for Anomaly Detection

16 February 2022
S. Akçay
Dick Ameln
Ashwin Vaidya
B. Lakshmanan
Nilesh A. Ahuja
Ergin Utku Genc
ArXivPDFHTML

Papers citing "Anomalib: A Deep Learning Library for Anomaly Detection"

3 / 53 papers shown
Title
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level
  Defective Region Segmentation
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation
Shancong Mou
Mengsi Cao
Haoping Bai
Ping-Chia Huang
Jianjun Shi
Jiulong Shan
17
11
0
28 Mar 2022
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection
I. Ndiour
Nilesh A. Ahuja
Omesh Tickoo
OODD
17
5
0
20 Mar 2022
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and
  Localization
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
80
286
0
20 Apr 2021
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