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Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images

Yann Soullard 1, 2 Pierrick Tranouez 3 Clement Chatelain 1, 3 Stéphane Nicolas 3 Thierry Paquet 3
2 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
3 DocApp - LITIS - Equipe Apprentissage
LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02476841
Contributor : Thierry Paquet <>
Submitted on : Thursday, February 13, 2020 - 8:03:29 AM
Last modification on : Friday, September 18, 2020 - 2:34:34 PM

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Yann Soullard, Pierrick Tranouez, Clement Chatelain, Stéphane Nicolas, Thierry Paquet. Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images. Pattern Recognition Letters, Elsevier, In press, ⟨10.1016/j.patrec.2020.01.026⟩. ⟨hal-02476841⟩

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