ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.08341
  4. Cited By
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"

50 / 53 papers shown
Title
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
Daniel Bogdoll
Rajanikant Ananta
Abeyankar Giridharan
Isabel Moore
Gregory Stevens
Henry X. Liu
VLM
51
0
0
30 Apr 2025
Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms
Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms
Lucian Chauvina
Somil Guptac
Angelina Ibarrac
Joshua Peeples
28
1
0
10 Apr 2025
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery
Angelina Ibarra
Joshua Peeples
36
0
0
10 Apr 2025
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
Sinchee Chin
Fan Zhang
Xiaochen Yang
Jing-Hao Xue
Wenming Yang
Peng Jia
Guijin Wang
Luo Yingqun
AI4TS
51
0
0
03 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
44
0
0
30 Mar 2025
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Yorick Estievenart
Sukanya Patra
Souhaib Ben Taieb
48
0
0
24 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
137
0
0
06 Mar 2025
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For
  Anomaly Segmentation
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Chang Won Lee
Selina Leveugle
Svetlana Stolpner
Chris Langley
Paul Grouchy
Jonathan Kelly
Steven Waslander
75
0
0
29 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
66
1
0
22 Nov 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal
  Properties
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
Xiayan Ji
Anton Xue
Eric Wong
O. Sokolsky
Insup Lee
34
1
0
31 Oct 2024
ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly
  Detection During Robotic Proximity Operations in Lunar Orbit
ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly Detection During Robotic Proximity Operations in Lunar Orbit
Selina Leveugle
Chang Won Lee
Svetlana Stolpner
Chris Langley
Paul Grouchy
Steven Waslander
Jonathan Kelly
23
1
0
30 Sep 2024
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly
  Detection
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection
Yunbo Long
Zhengyang Ling
Sam Brook
Duncan McFarlane
Alexandra Brintrup
23
0
0
24 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Sara Pohland
Claire Tomlin
33
0
0
09 Sep 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering
  Pipelines in Production? A Case Study in Retail
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail
Bianca Lamm
Janis Keuper
44
2
0
28 Aug 2024
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation
  Models
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models
Nobuo Namura
Yuma Ichikawa
AI4TS
24
1
0
27 Aug 2024
Textile Anomaly Detection: Evaluation of the State-of-the-Art for
  Automated Quality Inspection of Carpet
Textile Anomaly Detection: Evaluation of the State-of-the-Art for Automated Quality Inspection of Carpet
Briony Forsberg
Henry Williams
Bruce MacDonald
Tracy Chen
Kirstine Hulse
28
0
0
26 Jul 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
Subin Varghese
Vedhus Hoskere
36
0
0
26 Jun 2024
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image
  Anomaly Detection
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
Yuqi Cheng
Yunkang Cao
Rui Chen
Weiming Shen
38
3
0
11 Jun 2024
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly
  Detection
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection
Yiheng Zhang
Yunkang Cao
Tianhang Zhang
Weiming Shen
21
0
0
07 Jun 2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly
  Segmentation
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Kevin Stangl
Marius Arvinte
Weilin Xu
Cory Cornelius
VLM
UQCV
32
0
0
13 May 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Fractals as Pre-training Datasets for Anomaly Detection and Localization
C. Ugwu
S. Casarin
O. Lanz
30
0
0
11 May 2024
Supervised Anomaly Detection for Complex Industrial Images
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva
David Hurych
Victor Besnier
Olivier Bernard
44
5
0
08 May 2024
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Maria Francisca Madeira
Alessandro Poggiali
Jeanette Miriam Lorenz
23
0
0
26 Apr 2024
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
22
2
0
18 Apr 2024
OCR is All you need: Importing Multi-Modality into Image-based Defect
  Detection System
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
Chih-Chung Hsu
Chia-Ming Lee
Chun-Hung Sun
Kuang-Ming Wu
32
0
0
18 Mar 2024
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional
  Normalizing Flows
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
Zhan Dang
Yu Zheng
Xinglin Lin
Chunlei Peng
Qiuyu Chen
Xinbo Gao
AI4TS
39
5
0
13 Mar 2024
CSE: Surface Anomaly Detection with Contrastively Selected Embedding
CSE: Surface Anomaly Detection with Contrastively Selected Embedding
Simon Thomine
H. Snoussi
33
1
0
04 Mar 2024
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
Justin Tebbe
Jawad Tayyub
DiffM
31
4
0
09 Jan 2024
Distillation-based fabric anomaly detection
Distillation-based fabric anomaly detection
Simon Thomine
H. Snoussi
16
9
0
04 Jan 2024
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed
  and Low Tolerance
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance
João P C Bertoldo
Dick Ameln
Ashwin Vaidya
Samet Akccay
30
2
0
03 Jan 2024
EasyNet: An Easy Network for 3D Industrial Anomaly Detection
EasyNet: An Easy Network for 3D Industrial Anomaly Detection
Rui Chen
Guoyang Xie
Jiaqi Liu
Jinbao Wang
Ziqi Luo
Jinfan Wang
Feng Zheng
36
35
0
26 Jul 2023
Optimizing PatchCore for Few/many-shot Anomaly Detection
Optimizing PatchCore for Few/many-shot Anomaly Detection
Joao Santos
Triet Tran
Oliver Rippel
21
10
0
20 Jul 2023
Anomaly detection in image or latent space of patch-based auto-encoders
  for industrial image analysis
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis
Nicolas Pinon
Robin Trombetta
Carole Lartizien
UQCV
19
0
0
04 Jul 2023
BMAD: Benchmarks for Medical Anomaly Detection
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao
Hanshi Sun
Hanqiu Deng
Yinsheng He
Zhaoxiang Zhang
Xingyu Li
MedIm
26
21
0
20 Jun 2023
FABLE : Fabric Anomaly Detection Automation Process
FABLE : Fabric Anomaly Detection Automation Process
Simon Thomine
H. Snoussi
Mahmoud Soua
19
5
0
16 Jun 2023
Towards Total Online Unsupervised Anomaly Detection and Localization in
  Industrial Vision
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Han Gao
Huiyuan Luo
Fei Shen
Zhengtao Zhang
19
6
0
25 May 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Kilian Batzner
Lars Heckler
Rebecca König
35
129
0
25 Mar 2023
Defect Detection Approaches Based on Simulated Reference Image
Defect Detection Approaches Based on Simulated Reference Image
Nati Ofir
Y. Ben-Shoshan
Ran Badanes
Boris Sherman
29
1
0
21 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using
  Pyramid Normalizing Flow
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
Jiarui Lei
Xiao-Xiang Hu
Yue Wang
Dong Liu
32
59
0
05 Mar 2023
Industrial and Medical Anomaly Detection Through Cycle-Consistent
  Adversarial Networks
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
Arnaud Bougaham
Valentin Delchevalerie
M. Adoui
Benoit Frénay
MedIm
GAN
30
2
0
10 Feb 2023
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time
  Clustering for OCTA Image Quality Assessment
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Juntao Chen
Li Lin
Pujin Cheng
Yijin Huang
Xiaoying Tang
14
2
0
20 Dec 2022
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Z. Wang
Zhineng Chen
Yuwei Jiang
UQCV
AI4TS
29
62
0
05 Dec 2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly
  Detection
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Tianpeng Bao
Jiadong Chen
Wei Li
Xiang Wang
Jingjing Fei
Liwei Wu
Rui Zhao
Ye Zheng
11
20
0
25 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation
FRE: A Fast Method For Anomaly Detection And Segmentation
I. Ndiour
Nilesh A. Ahuja
Ergin Utku Genc
Omesh Tickoo
36
2
0
23 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with
  Unsupervised Threshold
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanián
Álvaro Pardo
Pablo Musé
22
17
0
22 Nov 2022
AltUB: Alternating Training Method to Update Base Distribution of
  Normalizing Flow for Anomaly Detection
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim
Huiwon Jang
Dongkeon Lee
Ho-Jin Choi
21
9
0
26 Oct 2022
Learning image representations for anomaly detection: application to
  discovery of histological alterations in drug development
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
I. Zingman
B. Stierstorfer
C. Lempp
Fabian Heinemann
OOD
MedIm
25
11
0
14 Oct 2022
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and
  Localization
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization
L. Bonfiglioli
Marco Toschi
Davide Silvestri
Nicola Fioraio
Daniele De Gregorio
13
33
0
10 Oct 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial
  Images: A Survey
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao
Xinyi Gong
X. Zhang
Shaohua Yan
Chandranath Adak
UQCV
15
137
0
21 Jul 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
30
295
0
19 Jun 2022
12
Next