<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
<record>
  <controlfield tag="001">99446</controlfield>
  <controlfield tag="005">20220405150418.0</controlfield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="2">doi</subfield>
    <subfield code="a">10.1109/TRO.2020.2974099</subfield>
  </datafield>
  <datafield tag="024" ind1="8" ind2=" ">
    <subfield code="2">sideral</subfield>
    <subfield code="a">117975</subfield>
  </datafield>
  <datafield tag="037" ind1=" " ind2=" ">
    <subfield code="a">ART-2020-117975</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Alonso, Íñigo</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0003-4638-4655</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">MiniNet: An Efficient Semantic Segmentation ConvNet for Real-Time Robotic Applications</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020</subfield>
  </datafield>
  <datafield tag="506" ind1="0" ind2=" ">
    <subfield code="a">Access copy available to the general public</subfield>
    <subfield code="f">Unrestricted</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
    <subfield code="a">Efficient models for semantic segmentation, in terms of memory, speed, and computation, could boost many robotic applications with strong computational and temporal restrictions. This article presents a detailed analysis of different techniques for efficient semantic segmentation. Following this analysis, we have developed a novel architecture, MiniNet-v2, an enhanced version of MiniNet. MiniNet-v2 is built considering the best option depending on CPU or GPU availability. It reaches comparable accuracy to the state-of-the-art models but uses less memory and computational resources. We validate and analyze the details of our architecture through a comprehensive set of experiments on public benchmarks (Cityscapes, Camvid, and COCO-Text datasets), showing its benefits over relevant prior work. Our experiments include a sample application where these models can boost existing robotic applications.</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="9">info:eu-repo/grantAgreement/ES/DGA/T45-17R</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MCIU-AEI/RTC-2017-6421-7</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MICIU-FEDER/PGC2018-098817-A-I00</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MINECO-AEI-FEDER/DPI2016-76676-R</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="9">info:eu-repo/semantics/openAccess</subfield>
    <subfield code="a">All rights reserved</subfield>
    <subfield code="u">http://www.europeana.eu/rights/rr-f/</subfield>
  </datafield>
  <datafield tag="590" ind1=" " ind2=" ">
    <subfield code="a">5.567</subfield>
    <subfield code="b">2020</subfield>
  </datafield>
  <datafield tag="591" ind1=" " ind2=" ">
    <subfield code="a">ROBOTICS</subfield>
    <subfield code="b">4 / 28 = 0.143</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
    <subfield code="e">T1</subfield>
  </datafield>
  <datafield tag="592" ind1=" " ind2=" ">
    <subfield code="a">2.027</subfield>
    <subfield code="b">2020</subfield>
  </datafield>
  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Computer Science Applications</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
  </datafield>
  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Electrical and Electronic Engineering</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
  </datafield>
  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Control and Systems Engineering</subfield>
    <subfield code="c">2020</subfield>
    <subfield code="d">Q1</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2="4">
    <subfield code="a">info:eu-repo/semantics/article</subfield>
    <subfield code="v">info:eu-repo/semantics/acceptedVersion</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Riazuelo, Luis</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-6722-5541</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Murillo, Ana C.</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-7580-9037</subfield>
  </datafield>
  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="1">5007</subfield>
    <subfield code="2">520</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Informát.Ingenie.Sistms.</subfield>
    <subfield code="c">Área Ingen.Sistemas y Automát.</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">36, 4 (2020), 1340 - 1347</subfield>
    <subfield code="p">IEEE Trans. Robot.</subfield>
    <subfield code="t">IEEE Transactions on Robotics</subfield>
    <subfield code="x">1552-3098</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">4358553</subfield>
    <subfield code="u">http://zaguan.unizar.es/record/99446/files/texto_completo.pdf</subfield>
    <subfield code="y">Postprint</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">3112159</subfield>
    <subfield code="u">http://zaguan.unizar.es/record/99446/files/texto_completo.jpg?subformat=icon</subfield>
    <subfield code="x">icon</subfield>
    <subfield code="y">Postprint</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="o">oai:zaguan.unizar.es:99446</subfield>
    <subfield code="p">articulos</subfield>
    <subfield code="p">driver</subfield>
  </datafield>
  <datafield tag="951" ind1=" " ind2=" ">
    <subfield code="a">2022-04-05-14:38:24</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">ARTICLE</subfield>
  </datafield>
</record>
</collection>