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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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PCEDNet - Replicability material

Research datakeyboard_double_arrow_right Dataset 20 Oct 2022 English Publisher:Zenodo
Authors: Cuquel, Pierre; Himeur, Chems-Eddine; Barthe, Loïc; Mellado, Nicolas;

doi: 10.5281/zenodo.7230148 , 10.5281/zenodo.7230147

PCEDNet - Replicability material

Abstract

Material required to replicate the paper: Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini, Mathias Paulin, Loic Barthe, and Nicolas Mellado. 2021. PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds. ACM Trans. Graph. 41, 1, Article 10 (February 2022), 21 pages. DOI:https://doi.org/10.1145/3481804 Includes the following files: networks.zip: pre-trained networks, default.zip: dataset provided by the authors, including Ground Truth labels (see paper for more details) abc.zip: dataset generated from the ABC dataset, including Ground Truth labels (see paper for more details) point-clouds.zip: point-clouds without Ground Truth (see paper for more details)

Website: https://storm-irit.github.io/pcednet-supp/

Related Organizations
Keywords

replicability, deep learning, point cloud

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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