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Volumn 2017-January, Issue , 2017, Pages 3233-3241

Graph-structured representations for visual question answering

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; COMPUTER VISION; DEEP NEURAL NETWORKS; IMAGE ENHANCEMENT;

EID: 85040312182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.344     Document Type: Conference Paper
Times cited : (372)

References (31)
  • 1
    • 85044312568 scopus 로고    scopus 로고
    • VQA Challenge leaderboard
    • VQA Challenge leaderboard. http://visualqa.org/challenge.html.
  • 10
    • 84862277874 scopus 로고    scopus 로고
    • Understanding the difficulty of training deep feedforward neural networks
    • X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In Proc. Int. Conf. Artificial Intell. & Stat., pages 249-256, 2010.
    • (2010) Proc. Int. Conf. Artificial Intell. & Stat , pp. 249-256
    • Glorot, X.1    Bengio, Y.2
  • 17
    • 84937822746 scopus 로고    scopus 로고
    • A multi-world approach to question answering about real-world scenes based on uncertain input
    • M. Malinowski and M. Fritz. A multi-world approach to question answering about real-world scenes based on uncertain input. In Proc. Advances in Neural Inf. Process. Syst., pages 1682-1690, 2014.
    • (2014) Proc. Advances in Neural Inf. Process. Syst , pp. 1682-1690
    • Malinowski, M.1    Fritz, M.2
  • 26


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.