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Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00307439" target="_blank" >RIV/68407700:21230/17:00307439 - isvavai.cz</a>

  • Result on the web

    <a href="http://cmp.felk.cvut.cz/pub/cmp/articles/vojir/Vojir-TR-2017-01.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/vojir/Vojir-TR-2017-01.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset

  • Original language description

    The technical report describes the acquisition methodology of pixel-wise annotation of objects of interest in the 60 video sequences of the VOT2016 dataset and the automatic estimation of rotated bounding boxes obtained from the object segmentations that were used in the VOT2016 challenge evaluation. This technical report is published to accompany the segmentation data and it must be cited whenever the segmentations are used. The code for the estimation of the bounding boxes is publicly available.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů