000099446 001__ 99446
000099446 005__ 20220405150418.0
000099446 0247_ $$2doi$$a10.1109/TRO.2020.2974099
000099446 0248_ $$2sideral$$a117975
000099446 037__ $$aART-2020-117975
000099446 041__ $$aeng
000099446 100__ $$0(orcid)0000-0003-4638-4655$$aAlonso, Íñigo$$uUniversidad de Zaragoza
000099446 245__ $$aMiniNet: An Efficient Semantic Segmentation ConvNet for Real-Time Robotic Applications
000099446 260__ $$c2020
000099446 5060_ $$aAccess copy available to the general public$$fUnrestricted
000099446 5203_ $$aEfficient 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.
000099446 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T45-17R$$9info:eu-repo/grantAgreement/ES/MCIU-AEI/RTC-2017-6421-7$$9info:eu-repo/grantAgreement/ES/MICIU-FEDER/PGC2018-098817-A-I00$$9info:eu-repo/grantAgreement/ES/MINECO-AEI-FEDER/DPI2016-76676-R
000099446 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000099446 590__ $$a5.567$$b2020
000099446 591__ $$aROBOTICS$$b4 / 28 = 0.143$$c2020$$dQ1$$eT1
000099446 592__ $$a2.027$$b2020
000099446 593__ $$aComputer Science Applications$$c2020$$dQ1
000099446 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ1
000099446 593__ $$aControl and Systems Engineering$$c2020$$dQ1
000099446 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000099446 700__ $$0(orcid)0000-0002-6722-5541$$aRiazuelo, Luis$$uUniversidad de Zaragoza
000099446 700__ $$0(orcid)0000-0002-7580-9037$$aMurillo, Ana C.$$uUniversidad de Zaragoza
000099446 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000099446 773__ $$g36, 4 (2020), 1340 - 1347$$pIEEE Trans. Robot.$$tIEEE Transactions on Robotics$$x1552-3098
000099446 8564_ $$s4358553$$uhttps://zaguan.unizar.es/record/99446/files/texto_completo.pdf$$yPostprint
000099446 8564_ $$s3112159$$uhttps://zaguan.unizar.es/record/99446/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000099446 909CO $$ooai:zaguan.unizar.es:99446$$particulos$$pdriver
000099446 951__ $$a2022-04-05-14:38:24
000099446 980__ $$aARTICLE