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Volumn , Issue , 2017, Pages 907-915

Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; GRAPHIC METHODS;

EID: 85020194126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2017.106     Document Type: Conference Paper
Times cited : (28)

References (41)
  • 1
    • 84986309960 scopus 로고    scopus 로고
    • Multicue zero-shot learning with strong supervision
    • Z. Akata, M. Malinowski, M. Fritz, and B. Schiele. Multicue zero-shot learning with strong supervision. In CVPR, 2016.
    • (2016) CVPR
    • Akata, Z.1    Malinowski, M.2    Fritz, M.3    Schiele, B.4
  • 3
    • 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, 2015.
    • (2015) CVPR
    • Akata, Z.1    Reed, S.2    Walter, D.3    Lee, H.4    Schiele, B.5
  • 4
    • 84906908966 scopus 로고    scopus 로고
    • Learning semantic attributes via a common latent space
    • Z. Al-Halah, T. Gehrig, and R. Stiefelhagen. Learning semantic attributes via a common latent space. In VISAPP, 2014.
    • (2014) VISAPP
    • Al-Halah, Z.1    Gehrig, T.2    Stiefelhagen, R.3
  • 5
    • 84925431011 scopus 로고    scopus 로고
    • How to transfer? Zeroshot object recognition via hierarchical transfer of semantic attributes
    • Z. Al-Halah and R. Stiefelhagen. How to transfer? zeroshot object recognition via hierarchical transfer of semantic attributes. In WACV, 2015.
    • (2015) WACV
    • Al-Halah, Z.1    Stiefelhagen, R.2
  • 7
    • 84973916142 scopus 로고    scopus 로고
    • Latent structure preserving hashing
    • Z. Cai, L. Liu, M. Yu, and L. Shao. Latent structure preserving hashing. In BMVC, 2015.
    • (2015) BMVC
    • Cai, Z.1    Liu, L.2    Yu, M.3    Shao, L.4
  • 8
    • 84986274021 scopus 로고    scopus 로고
    • Synthesized classifiers for zero-shot learning
    • S. Changpinyo, W.-L. Chao, B. Gong, and F. Sha. Synthesized classifiers for zero-shot learning. In CVPR, 2016.
    • (2016) CVPR
    • Changpinyo, S.1    Chao, W.-L.2    Gong, B.3    Sha, F.4
  • 9
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Springer
    • T. G. Dietterich. Ensemble methods in machine learning. In Multiple classifier systems, pages 1-15. Springer, 2000.
    • (2000) Multiple Classifier Systems , pp. 1-15
    • Dietterich, T.G.1
  • 10
    • 85020170733 scopus 로고    scopus 로고
    • Write a classifier: Zero-shot learning using purely textual descriptions
    • M. Elhoseiny, B. Saleh, and A. Elgammal. Write a classifier: Zero-shot learning using purely textual descriptions. In CVPR, 2013.
    • (2013) CVPR
    • Elhoseiny, M.1    Saleh, B.2    Elgammal, A.3
  • 12
    • 70450219358 scopus 로고    scopus 로고
    • Learning visual attributes
    • V. Ferrari and A. Zisserman. Learning visual attributes. In NIPS, 2007.
    • (2007) NIPS
    • Ferrari, V.1    Zisserman, A.2
  • 13
    • 84906482165 scopus 로고    scopus 로고
    • Transductive multi-view embedding for zero-shot recognition and annotation
    • Y. Fu, T. M. Hospedales, T. Xiang, Z. Fu, and S. Gong. Transductive multi-view embedding for zero-shot recognition and annotation. In ECCV, 2014.
    • (2014) ECCV
    • Fu, Y.1    Hospedales, T.M.2    Xiang, T.3    Fu, Z.4    Gong, S.5
  • 16
    • 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, 2015.
    • (2015) CVPR
    • Huang, S.1    Elhoseiny, M.2    Elgammal, A.3    Yang, D.4
  • 17
    • 84937954530 scopus 로고    scopus 로고
    • Zero-shot recognition with unreliable attributes
    • D. Jayaraman and K. Grauman. Zero-shot recognition with unreliable attributes. In NIPS, 2014.
    • (2014) NIPS
    • Jayaraman, D.1    Grauman, K.2
  • 18
    • 84911379042 scopus 로고    scopus 로고
    • Decorrelating semantic visual attributes by resisting the urge to share
    • D. Jayaraman, F. Sha, and K. Grauman. Decorrelating semantic visual attributes by resisting the urge to share. In CVPR, 2014.
    • (2014) CVPR
    • Jayaraman, D.1    Sha, F.2    Grauman, K.3
  • 19
    • 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, 2015.
    • (2015) ICCV
    • Kodirov, E.1    Xiang, T.2    Fu, Z.3    Gong, S.4
  • 20
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Attribute and simile classifiers for face verification. In ICCV, 2009.
    • (2009) ICCV
    • Kumar, N.1    Berg, A.C.2    Belhumeur, P.N.3    Nayar, S.K.4
  • 21
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 23
    • 85027713372 scopus 로고    scopus 로고
    • Attribute embedding with visual-semantic ambiguity removal for zero-shot learning
    • Y. Long, L. Liu, and L. Shao. Attribute embedding with visual-semantic ambiguity removal for zero-shot learning. In BMVC, 2016.
    • (2016) BMVC
    • Long, Y.1    Liu, L.2    Shao, L.3
  • 24
    • 85020195882 scopus 로고    scopus 로고
    • Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes
    • Y. Long, L. Liu, and L. Shao. Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes. In WACV, 2017.
    • (2017) WACV
    • Long, Y.1    Liu, L.2    Shao, L.3
  • 25
    • 84956623987 scopus 로고    scopus 로고
    • Recognising occluded multiview actions using local nearest neighbour embedding
    • Y. Long, F. Zhu, and L. Shao. Recognising occluded multiview actions using local nearest neighbour embedding. Computer Vision and Image Understanding, 144:36-45, 2016.
    • (2016) Computer Vision and Image Understanding , vol.144 , pp. 36-45
    • Long, Y.1    Zhu, F.2    Shao, L.3
  • 26
    • 84911410734 scopus 로고    scopus 로고
    • Costa: Co-occurrence statistics for zero-shot classification
    • T. Mensink, E. Gavves, and C. Snoek. Costa: Co-occurrence statistics for zero-shot classification. In CVPR, 2014.
    • (2014) CVPR
    • Mensink, T.1    Gavves, E.2    Snoek, C.3
  • 29
  • 30
    • 85027028866 scopus 로고    scopus 로고
    • Beyond semantic attributes: Discrete latent attributes learning for zero-shot recognition
    • J. Qin, Y. Wang, L. Liu, J. Chen, and L. Shao. Beyond semantic attributes: Discrete latent attributes learning for zero-shot recognition. IEEE Signal Processing Letters, 23(11):1667-1671, 2016.
    • (2016) IEEE Signal Processing Letters , vol.23 , Issue.11 , pp. 1667-1671
    • Qin, J.1    Wang, Y.2    Liu, L.3    Chen, J.4    Shao, L.5
  • 31
    • 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, 2013.
    • (2013) NIPS
    • Rohrbach, M.1    Ebert, S.2    Schiele, B.3
  • 32
    • 77955989949 scopus 로고    scopus 로고
    • What helps where-And why? Semantic relatedness for knowledge transfer
    • M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele. What helps where-And why? semantic relatedness for knowledge transfer. In CVPR, 2010.
    • (2010) CVPR
    • Rohrbach, M.1    Stark, M.2    Szarvas, G.3    Gurevych, I.4    Schiele, B.5
  • 33
    • 84969931523 scopus 로고    scopus 로고
    • An embarrassingly simple approach to zero-shot learning
    • B. Romera-Paredes and P. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, 2015.
    • (2015) ICML
    • Romera-Paredes, B.1    Torr, P.2
  • 34
    • 84944707196 scopus 로고    scopus 로고
    • Kernelized multiview projection for robust action recognition
    • L. Shao, L. Liu, and M. Yu. Kernelized multiview projection for robust action recognition. International Journal of Computer Vision, 118(2):115-129, 2016.
    • (2016) International Journal of Computer Vision , vol.118 , Issue.2 , pp. 115-129
    • Shao, L.1    Liu, L.2    Yu, M.3
  • 36
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. Von Luxburg. A tutorial on spectral clustering. Statistics and computing, 17(4):395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 37
    • 85083950311 scopus 로고    scopus 로고
    • Zero-shot learning for semantic utterance classification
    • N. D. Yann, T. Gokhan, H.-T. Dilek, and L. Heck. Zero-shot learning for semantic utterance classification. In ICLR, 2014.
    • (2014) ICLR
    • Yann, N.D.1    Gokhan, T.2    Dilek, H.-T.3    Heck, L.4
  • 38
    • 84887368641 scopus 로고    scopus 로고
    • Signing category-level attributes for discriminative visual recognition
    • De
    • F. Yu, L. Cao, R. Feris, J. Smith, and S.-F. Chang. Designing category-level attributes for discriminative visual recognition. In CVPR, 2013.
    • (2013) CVPR
    • Yu, F.1    Cao, L.2    Feris, R.3    Smith, J.4    Chang, S.-F.5
  • 40
    • 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, 2015.
    • (2015) ICCV
    • Zhang, Z.1    Saligrama, V.2
  • 41
    • 84986292720 scopus 로고    scopus 로고
    • Zero-shot learning via joint latent similarity embedding
    • Z. Zhang and V. Saligrama. Zero-shot learning via joint latent similarity embedding. In CVPR, 2016.
    • (2016) CVPR
    • Zhang, Z.1    Saligrama, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.