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Pattern Recognition

44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27–30, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13485)

Included in the following conference series:

Conference proceedings info: DAGM GCPR 2022.

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About this book

This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 – 30, 2022.

The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: ​machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.

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Keywords

Table of contents (36 papers)

  1. Machine Learning Methods

  2. Unsupervised, Semi-supervised and Transfer Learning

  3. Interpretable Machine Learning

  4. Low-Level Vision and Computational Photography

  5. Motion, Pose Estimation and Tracking

Editors and Affiliations

  • TU Dresden, Dresden, Germany

    Björn Andres

  • University of Bonn, Bonn, Germany

    Florian Bernard

  • Technical University of Munich, Munich, Germany

    Daniel Cremers

  • University of Hamburg, Hamburg, Germany

    Simone Frintrop

  • University of Konstanz, Konstanz, Germany

    Bastian Goldlücke

  • University of Siegen, Siegen, Germany

    Ivo Ihrke

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