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Volumn 2017-January, Issue , 2017, Pages 5207-5215

Zero-shot recognition using dual visual-semantic mapping paths

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE ENHANCEMENT; MAPPING;

EID: 85040651835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.553     Document Type: Conference Paper
Times cited : (159)

References (38)
  • 1
    • 84887338331 scopus 로고    scopus 로고
    • Label-embedding for attribute-based classification
    • IEEE
    • Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. Label-embedding for attribute-based classification. In CVPR, pages 819-826. IEEE, 2013.
    • (2013) CVPR , pp. 819-826
    • Akata, Z.1    Perronnin, F.2    Harchaoui, Z.3    Schmid, C.4
  • 2
    • 84959243017 scopus 로고    scopus 로고
    • Evaluation of output embeddings for fine-grained image classification
    • Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele. Evaluation of output embeddings for fine-grained image classification. In CVPR, pages 2927-2936, 2015.
    • (2015) CVPR , pp. 2927-2936
    • Akata, Z.1    Reed, S.2    Walter, D.3    Lee, H.4    Schiele, B.5
  • 6
    • 84941001216 scopus 로고    scopus 로고
    • Transductive multi-view zero-shot learning
    • Y. Fu, T. Hospedales, T. Xiang, and S. Gong. Transductive multi-view zero-shot learning. PAMI, pages 1-1, 2015.
    • (2015) PAMI , pp. 1
    • Fu, Y.1    Hospedales, T.2    Xiang, T.3    Gong, S.4
  • 7
    • 84940993365 scopus 로고    scopus 로고
    • Zero-shot object recognition by semantic manifold distance
    • Z. Fu, T. Xiang, E. Kodirov, and S. Gong. Zero-shot object recognition by semantic manifold distance. In CVPR, pages 2635-2644, 2015.
    • (2015) CVPR , pp. 2635-2644
    • Fu, Z.1    Xiang, T.2    Kodirov, E.3    Gong, S.4
  • 10
    • 84959245593 scopus 로고    scopus 로고
    • Learning hypergraph-regularized attribute predictors
    • S. Huang, M. Elhoseiny, A. Elgammal, and D. Yang. Learning hypergraph-regularized attribute predictors. In CVPR, pages 409-417, 2015.
    • (2015) CVPR , pp. 409-417
    • Huang, S.1    Elhoseiny, M.2    Elgammal, A.3    Yang, D.4
  • 11
    • 84937837455 scopus 로고    scopus 로고
    • A unified semantic embedding: Relating taxonomies and attributes
    • S. J. Hwang and L. Sigal. A unified semantic embedding: Relating taxonomies and attributes. In NIPS, pages 271-279, 2014.
    • (2014) NIPS , pp. 271-279
    • Hwang, S.J.1    Sigal, L.2
  • 12
    • 84937954530 scopus 로고    scopus 로고
    • Zero-shot recognition with unreliable attributes
    • D. Jayaraman and K. Grauman. Zero-shot recognition with unreliable attributes. In NIPS, pages 3464-3472, 2014.
    • (2014) NIPS , pp. 3464-3472
    • Jayaraman, D.1    Grauman, K.2
  • 13
    • 84911379042 scopus 로고    scopus 로고
    • Decorrelating semantic visual attributes by resisting the urge to share
    • IEEE
    • D. Jayaraman, F. Sha, and K. Grauman. Decorrelating semantic visual attributes by resisting the urge to share. In CVPR, pages 1629-1636. IEEE, 2014.
    • (2014) CVPR , pp. 1629-1636
    • Jayaraman, D.1    Sha, F.2    Grauman, K.3
  • 15
    • 84973901436 scopus 로고    scopus 로고
    • Unsupervised domain adaptation for zero-shot learning
    • E. Kodirov, T. Xiang, Z. Fu, and S. Gong. Unsupervised domain adaptation for zero-shot learning. In ICCV, pages 2452-2460, 2015.
    • (2015) ICCV , pp. 2452-2460
    • Kodirov, E.1    Xiang, T.2    Fu, Z.3    Gong, S.4
  • 16
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • IEEE
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, pages 951-958. IEEE, 2009.
    • (2009) CVPR , pp. 951-958
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 17
    • 84894522762 scopus 로고    scopus 로고
    • Attribute-based classification for zero-shot visual object categorization
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Attribute-based classification for zero-shot visual object categorization. PAMI, 36(3):453-465, 2014.
    • (2014) PAMI , vol.36 , Issue.3 , pp. 453-465
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 18
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111-3119, 2013.
    • (2013) NIPS , pp. 3111-3119
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.S.4    Dean, J.5
  • 20
  • 21
    • 84961289992 scopus 로고    scopus 로고
    • Glove: Global vectors for word representation
    • J. Pennington, R. Socher, and C. D. Manning. Glove: Global vectors for word representation. In EMNLP, volume 14, pages 1532-1543, 2014.
    • (2014) EMNLP , vol.14 , pp. 1532-1543
    • Pennington, J.1    Socher, R.2    Manning, C.D.3
  • 23
    • 84899001511 scopus 로고    scopus 로고
    • Transfer learning in a transductive setting
    • M. Rohrbach, S. Ebert, and B. Schiele. Transfer learning in a transductive setting. In NIPS, pages 46-54, 2013.
    • (2013) NIPS , pp. 46-54
    • Rohrbach, M.1    Ebert, S.2    Schiele, B.3
  • 24
    • 84969931523 scopus 로고    scopus 로고
    • An embarrassingly simple approach to zero-shot learning
    • B. Romera-Paredes, E. OX, and P. H. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, pages 2152-2161, 2015.
    • (2015) ICML , pp. 2152-2161
    • Romera-Paredes, B.1    Ox, E.2    Torr, P.H.3
  • 26
    • 85083953063 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. ICLR, 2015.
    • (2015) ICLR
    • Simonyan, K.1    Zisserman, A.2
  • 28
    • 57249084011 scopus 로고    scopus 로고
    • Visualizing data using t-sne
    • ):85
    • L. Van der Maaten and G. Hinton. Visualizing data using t-sne. JMLR, 9(2579-2605):85, 2008.
    • (2008) JMLR , vol.9 , pp. 2579-2605
    • Van Der Maaten, L.1    Hinton, G.2
  • 30
    • 56449084264 scopus 로고    scopus 로고
    • Manifold alignment using pro-crustes analysis
    • ACM
    • C. Wang and S. Mahadevan. Manifold alignment using pro-crustes analysis. In ICML, pages 1120-1127. ACM, 2008.
    • (2008) ICML , pp. 1120-1127
    • Wang, C.1    Mahadevan, S.2
  • 31
    • 84863261451 scopus 로고    scopus 로고
    • Heterogeneous domain adaptation using manifold alignment
    • C. Wang and S. Mahadevan. Heterogeneous domain adaptation using manifold alignment. In IJCAI, page 1541, 2011.
    • (2011) IJCAI , pp. 1541
    • Wang, C.1    Mahadevan, S.2
  • 32
    • 85007153122 scopus 로고    scopus 로고
    • Relational knowledge transfer for zero-shot learning
    • D. Wang, Y. Li, Y. Lin, and Y. Zhuang. Relational knowledge transfer for zero-shot learning. In AAAI, 2016.
    • (2016) AAAI
    • Wang, D.1    Li, Y.2    Lin, Y.3    Zhuang, Y.4
  • 34
    • 77955988947 scopus 로고    scopus 로고
    • Sun database: Large-scale scene recognition from abbey to zoo
    • IEEE
    • J. Xiao, J. Hays, K. Ehinger, A. Oliva, A. Torralba, et al. Sun database: Large-scale scene recognition from abbey to zoo. In CVPR, pages 3485-3492. IEEE, 2010.
    • (2010) CVPR , pp. 3485-3492
    • Xiao, J.1    Hays, J.2    Ehinger, K.3    Oliva, A.4    Torralba, A.5
  • 35
    • 84887368641 scopus 로고    scopus 로고
    • Designing category-level attributes for discriminative visual recognition
    • F. X. Yu, L. Cao, R. S. Feris, J. R. Smith, and S.-F. Chang. Designing category-level attributes for discriminative visual recognition. In CVPR, pages 771-778, 2013.
    • (2013) CVPR , pp. 771-778
    • Yu, F.X.1    Cao, L.2    Feris, R.S.3    Smith, J.R.4    Chang, S.-F.5
  • 37
    • 84973910934 scopus 로고    scopus 로고
    • Zero-shot learning via semantic similarity embedding
    • Z. Zhang and V. Saligrama. Zero-shot learning via semantic similarity embedding. In ICCV, pages 4166-4174, 2015.
    • (2015) ICCV , pp. 4166-4174
    • Zhang, Z.1    Saligrama, V.2
  • 38
    • 84911449311 scopus 로고    scopus 로고
    • Capturing long-tail distributions of object subcategories
    • X. Zhu, D. Anguelov, and D. Ramanan. Capturing long-tail distributions of object subcategories. In CVPR, pages 915-922, 2014.
    • (2014) CVPR , pp. 915-922
    • Zhu, X.1    Anguelov, D.2    Ramanan, D.3


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