메뉴 건너뛰기




Volumn 7585 LNCS, Issue PART 3, 2012, Pages 61-70

Unsupervised learning of discriminative relative visual attributes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; INTEGER PROGRAMMING;

EID: 84867710327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33885-4_7     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 1
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • Lampert, C.H., Nickisch, H., Harmeling, S.: 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
  • 3
    • 77956006784 scopus 로고    scopus 로고
    • Attribute-centric recognition for cross-category generalization
    • Farhadi, A., Endres, I., Hoiem, D.: Attribute-centric recognition for cross-category generalization. In: CVPR (2010)
    • (2010) CVPR
    • Farhadi, A.1    Endres, I.2    Hoiem, D.3
  • 4
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • Kumar, N., Berg, A.C., Belhumeur, P.N., Nayar, S.K.: 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
  • 5
  • 6
    • 84856659292 scopus 로고    scopus 로고
    • A joint learning framework for attribute models and object descriptions
    • Mahajan, D.K., Sellamanickam, S., Nair, V.: A joint learning framework for attribute models and object descriptions. In: ICCV (2011)
    • (2011) ICCV
    • Mahajan, D.K.1    Sellamanickam, S.2    Nair, V.3
  • 7
    • 78149314622 scopus 로고    scopus 로고
    • A Discriminative Latent Model of Object Classes and Attributes
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. Springer, Heidelberg
    • Wang, Y., Mori, G.: A Discriminative Latent Model of Object Classes and Attributes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 155-168. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6315 , pp. 155-168
    • Wang, Y.1    Mori, G.2
  • 8
    • 78149305536 scopus 로고    scopus 로고
    • Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. Springer, Heidelberg
    • Yu, X., Aloimonos, Y.: Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 127-140. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6315 , pp. 127-140
    • Yu, X.1    Aloimonos, Y.2
  • 9
    • 77953177673 scopus 로고    scopus 로고
    • Joint learning of visual attributes, object classes and visual saliency
    • Wang, G., Forsyth, D.A.: Joint learning of visual attributes, object classes and visual saliency. In: ICCV (2009)
    • (2009) ICCV
    • Wang, G.1    Forsyth, D.A.2
  • 10
    • 70450219358 scopus 로고    scopus 로고
    • Learning visual attributes
    • Ferrari, V., Zisserman, A.: Learning visual attributes. In: NIPS (2007)
    • (2007) NIPS
    • Ferrari, V.1    Zisserman, A.2
  • 11
    • 78149327581 scopus 로고    scopus 로고
    • Automatic Attribute Discovery and Characterization from Noisy Web Data
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. Springer, Heidelberg
    • Berg, T.L., Berg, A.C., Shih, J.: Automatic Attribute Discovery and Characterization from Noisy Web Data. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 663-676. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6311 , pp. 663-676
    • Berg, T.L.1    Berg, A.C.2    Shih, J.3
  • 12
    • 77955989949 scopus 로고    scopus 로고
    • What helps where - And why? semantic relatedness for knowledge transfer
    • Rohrbach, M., Stark, M., Szarvas, G., Gurevych, I., Schiele, B.: 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
  • 13
    • 80052900722 scopus 로고    scopus 로고
    • Interactively building a discriminative vocabulary of nameable attributes
    • Parikh, D., Grauman, K.: Interactively building a discriminative vocabulary of nameable attributes. In: CVPR (2011)
    • (2011) CVPR
    • Parikh, D.1    Grauman, K.2
  • 14
    • 84856645721 scopus 로고    scopus 로고
    • Actively selecting annotations among objects and attributes
    • Kovashka, A., Vijayanarasimhan, S., Grauman, K.: Actively selecting annotations among objects and attributes. In: ICCV (2011)
    • (2011) ICCV
    • Kovashka, A.1    Vijayanarasimhan, S.2    Grauman, K.3
  • 15
    • 78149355981 scopus 로고    scopus 로고
    • Efficient Object Category Recognition Using Classemes
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. Springer, Heidelberg
    • Torresani, L., Szummer, M., Fitzgibbon, A.: Efficient Object Category Recognition Using Classemes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 776-789. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6311 , pp. 776-789
    • Torresani, L.1    Szummer, M.2    Fitzgibbon, A.3
  • 17
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV 42(3) (2001)
    • (2001) IJCV , vol.42 , Issue.3
    • Oliva, A.1    Torralba, A.2
  • 18
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Software available at
    • Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines. ACM TIST 2, 27:1-27:27 (2011), Software available at http://www.csie.ntu.edu.tw/ ~cjlin/libsvm
    • (2011) ACM TIST , vol.2
    • Chang, C.C.1    Lin, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.