Concepedia

David Sattlegger

DS

Statistics

Publications

8

Citations

4K

H-Index

8

Active since

2019

Affiliations

Technical University of Munich(Current)

Software (Germany)

University of Amsterdam

David Sattlegger is an author at Technical University of Munich specializing in computer vision, data science, and pattern recognition.

Top concepts

EngineeringData ScienceImage AnalysisComputer VisionMachine LearningPattern RecognitionDeep LearningMachine VisionComputer ScienceAnomaly Detection

Publications per year

2019–2023

8

Publications

8

MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Paul Bergmann, Michael Fauser, David Sattlegger et al. · 2019 · 1.7K citations

Convolutional Neural Network, Anomaly Detection, Machine Learning +19

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

Paul Bergmann, Michael Fauser, David Sattlegger et al. · 2020 · 810 citations · Full text

Anomaly Detection, Machine Learning, Engineering +17

The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Paul Bergmann, Kilian Batzner, Michael Fauser et al. · International Journal of Computer Vision · 2021 · 434 citations · Full text

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Paul Bergmann, Sindy Löwe, Michael Fauser et al. · 2019 · 419 citations · Full text

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Paul Bergmann, Sindy Löwe, Michael Fauser et al. · 2019 · 319 citations

Image Analysis, Machine Learning, Data Science +10

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