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Reproducible Research in Pattern Recognition

Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Bertrand Kerautret

    1. LIRIS, Université de Lyon 2, Bron, France

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  2. Miguel Colom

    1. Centre Borelli, École Normale Supérieure Paris-Saclay, Gif-sur-Yvette, France

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  3. Adrien Krähenbühl

    1. Laboratoire ICube, Illkirch, France

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  4. Daniel Lopresti

    1. Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA

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  5. Pascal Monasse

    1. Ecole des Ponts Paris Tech, Marne-la-Vallée, France

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  6. Hugues Talbot

    1. University of Paris-Saclay, Gif-sur-Yvette, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12636)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: RRPR 2021.

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Table of contents (13 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Reproducible Research Framework

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

      • Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut et al.
      Pages 3-11

    3. Reproducibility: Evaluating the Evaluations

      • Daniel Lopresti, George Nagy
      Pages 12-23

    4. torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

      • Yoshitomo Matsubara
      Pages 24-44

  3. Reproducible Research Results

    1. Front Matter

      Pages 45-45
      Download chapter PDF

    2. Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection

      • Devashish Lohani, Carlos Crispim-Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne
      Pages 47-65

    3. Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis

      • Vera Ivanyuk, Ekaterina Tsapina
      Pages 66-79

    4. Tree Defect Segmentation Using Geometric Features and CNN

      • Florian Delconte, Phuc Ngo, Isabelle Debled-Rennesson, Bertrand Kerautret, Van-Tho Nguyen, Thiery Constant
      Pages 80-100

    5. Pith Estimation on Tree Log End Images

      • Rémi Decelle, Phuc Ngo, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud
      Pages 101-120

    6. Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters

      • Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat
      Pages 121-135

  4. RRPR Short Papers

    1. Front Matter

      Pages 137-137
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    2. A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes

      • Federico Bolelli, Stefano Allegretti, Costantino Grana
      Pages 139-145

    3. On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation

      • Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez, Jan Kocica
      Pages 146-151

    4. Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors

      • Yuki Inoue
      Pages 152-160

    5. Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks

      • Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
      Pages 161-166

    6. Implementation of Genetic Pseudo Rehearsal

      • Bhasker Sri Harsha Suri, Kalidas Yeturu
      Pages 167-172

  5. Back Matter

    Pages 173-173
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Other volumes

  1. Reproducible Research in Pattern Recognition

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021.

The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions.

The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.

Editors and Affiliations

  • LIRIS, Université de Lyon 2, Bron, France

    Bertrand Kerautret

  • Centre Borelli, École Normale Supérieure Paris-Saclay, Gif-sur-Yvette, France

    Miguel Colom

  • Laboratoire ICube, Illkirch, France

    Adrien Krähenbühl

  • Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA

    Daniel Lopresti

  • Ecole des Ponts Paris Tech, Marne-la-Vallée, France

    Pascal Monasse

  • University of Paris-Saclay, Gif-sur-Yvette, France

    Hugues Talbot

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