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Volumn 2017-July, Issue , 2017, Pages 3226-3229

Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark

Author keywords

classification benchmark; convolutional neural networks; deep learning; High resolution images

Indexed keywords


EID: 85038620511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2017.8127684     Document Type: Conference Paper
Times cited : (759)

References (9)
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    • Maggiori, E.1    Tarabalka, Y.2    Charpiat, G.3
  • 3
    • 85041805654 scopus 로고    scopus 로고
    • Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
    • Michele Volpi and Devis Tuia, "Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks, " IEEE TGRS, 2016.
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    • Volpi, M.1    Tuia, D.2
  • 4
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    • (2016) IEEE TGRS
    • Maggiori, E.1    Tarabalka, Y.2    Charpiat, G.3    Alliez, P.4
  • 5
    • 85041815504 scopus 로고    scopus 로고
    • Enhancing road maps by parsing aerial images around the world
    • Gellert Mattyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun, "Enhancing road maps by parsing aerial images around the world, " in IEEE ICCV, 2015.
    • (2015) IEEE ICCV
    • Mattyus, G.1    Wang, S.2    Fidler, S.3    Urtasun, R.4
  • 7
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    • Hyperspectral image representation and processing with binary partition trees
    • Silvia Valero, Philippe Salembier, and Jocelyn Chanussot, "Hyperspectral image representation and processing with binary partition trees, " IEEE TIP, 2013.
    • (2013) IEEE TIP
    • Valero, S.1    Salembier, P.2    Chanussot, J.3
  • 8
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    • Fully convolutional networks for semantic segmentation
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    • Long, J.1    Shelhamer, E.2    Darrell, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.