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Volumn 2017-January, Issue , 2017, Pages 3298-3308

Detecting visual relationships with deep relational networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEEP LEARNING;

EID: 85041892861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.352     Document Type: Conference Paper
Times cited : (503)

References (64)
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    • Gupta, A.1    Davis, L.S.2
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    • (2014) COLING , vol.2 , pp. 9
    • Thomason, J.1    Venugopalan, S.2    Guadarrama, S.3    Saenko, K.4    Mooney, R.J.5
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    • A multi-view embedding space for modeling internet images, tags, and their semantics
    • Yunchao Gong, Qifa Ke, Michael Isard, and Svetlana Lazebnik. A multi-view embedding space for modeling internet images, tags, and their semantics. International journal of computer vision, 106(2): 210233, 2014.
    • (2014) International journal of computer vision , vol.106 , Issue.2 , pp. 210233
    • Gong, Y.1    Ke, Q.2    Isard, M.3    Lazebnik, S.4
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    • Semantic parsing for text to 3d scene generation
    • Angel X Chang, Manolis Savva, and Christopher D Manning. Semantic parsing for text to 3d scene generation. ACL 2014, page 17, 2014.
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    • Chang, A.X.1    Savva, M.2    Manning, C.D.3
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    • Very deep convolutional networks for large-scale image recognition
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    • K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014.
    • (2014) CoRR
    • Simonyan, K.1    Zisserman, A.2
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    • Efficient inference in fully connected crfs with Gaussian edge potentials
    • Vladlen Koltun. Efficient inference in fully connected crfs with gaussian edge potentials. Adv. Neural Inf. Process. Syst, 2011.
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    • Koltun, V.1
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    • Deep markov random field for image modeling
    • Springer
    • Zhirong Wu, Dahua Lin, and Xiaoou Tang. Deep markov random field for image modeling. In European Conference on Computer Vision, pages 295-312. Springer, 2016.
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    • Wu, Z.1    Lin, D.2    Tang, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.