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ORCIDRRPR 2021: Virtual Event
- Bertrand Kerautret
, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot:
Reproducible Research in Pattern Recognition - Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12636, Springer 2021, ISBN 978-3-030-76422-7
Reproducible Research Framework
- Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. 3-11 - Daniel Lopresti, George Nagy:
Reproducibility: Evaluating the Evaluations. 12-23 - Yoshitomo Matsubara:
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation. 24-44
Reproducible Research Results
- Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne:
Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection. 47-65 - Vera Ivanyuk, Ekaterina Tsapina:
Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis. 66-79 - Florian Delconte, Phuc Ngo, Isabelle Debled-Rennesson, Bertrand Kerautret, Van-Tho Nguyen, Thiéry Constant:
Tree Defect Segmentation Using Geometric Features and CNN. 80-100 - Rémi Decelle, Phuc Ngo, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud:
Pith Estimation on Tree Log End Images. 101-120 - Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat:
Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters. 121-135
RRPR Short Papers
- Federico Bolelli, Stefano Allegretti, Costantino Grana:
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes. 139-145 - Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. 146-151 - Yuki Inoue:
Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors. 152-160 - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. 161-166 - Bhasker Sri Harsha Suri, Kalidas Yeturu:
Implementation of Genetic Pseudo Rehearsal. 167-172
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