메뉴 건너뛰기




Volumn , Issue , 2009, Pages 951-958

Learning to detect unseen object classes by between-class attribute transfer

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; COMPUTER VISION; OBJECT RECOGNITION; SEMANTICS;

EID: 70450172710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206594     Document Type: Conference Paper
Times cited : (2402)

References (40)
  • 1
    • 33745139169 scopus 로고    scopus 로고
    • Cross-generalization: Learning novel classes from a single example by feature replacement
    • E. Bart and S. Ullman. Cross-generalization: Learning novel classes from a single example by feature replacement. In CVPR, 2005.
    • (2005) CVPR
    • Bart, E.1    Ullman, S.2
  • 2
    • 43049174575 scopus 로고    scopus 로고
    • Speeded-Up Robust Features (SURF)
    • H. Bay, A. Ess, T. Tuytelaars, and L. J. V. Gool. Speeded-up robust features (SURF). CVIU, 110(3), 2008.
    • (2008) CVIU , vol.110 , Issue.3
    • Bay, H.1    Ess, A.2    Tuytelaars, T.3    Gool, L.J.V.4
  • 3
    • 0023322501 scopus 로고
    • Recognition by components - A theory of human image understanding
    • I. Biederman. Recognition by components - a theory of human image understanding. Psychological Review, 94(2), 1987.
    • (1987) Psychological Review , vol.94 , Issue.2
    • Biederman, I.1
  • 4
    • 36849014901 scopus 로고    scopus 로고
    • Representing shape with a spatial pyramid kernel
    • A. Bosch, A. Zisserman, and X. Muñoz. Representing shape with a spatial pyramid kernel. In CIVR, 2007.
    • (2007) CIVR
    • Bosch, A.1    Zisserman, A.2    Muñoz, X.3
  • 6
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 9
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • P. F. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
    • (2008) CVPR
    • Felzenszwalb, P.F.1    Mcallester, D.2    Ramanan, D.3
  • 10
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
    • (2003) CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 11
    • 85161970171 scopus 로고    scopus 로고
    • Learning visual attributes
    • V. Ferrari and A. Zisserman. Learning visual attributes. In NIPS, 2008.
    • (2008) NIPS
    • Ferrari, V.1    Zisserman, A.2
  • 12
    • 39749097861 scopus 로고    scopus 로고
    • From aardvark to zorro: A benchmark for mammal image classification
    • M. Fink and S. Ullman. From Aardvark to Zorro: A benchmark for mammal image classification. IJCV, 77(1-3), 2008.
    • (2008) IJCV , vol.77 , Issue.1-3
    • Fink, M.1    Ullman, S.2
  • 13
    • 0015567825 scopus 로고
    • The representation and matching of pictorial structures
    • Jan.
    • M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. IEEE Trans. Computer, 22(1), Jan. 1973.
    • (1973) IEEE Trans. Computer , vol.22 , Issue.1
    • Fischler, M.A.1    Elschlager, R.A.2
  • 14
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Aug.
    • Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), Aug. 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1
    • Freund, Y.1    Schapire, R.E.2
  • 17
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M. I. Jordan and R. A. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6(2), 1994.
    • (1994) Neural Computation , vol.6 , Issue.2
    • Jordan, M.I.1    Jacobs, R.A.2
  • 19
    • 0000650782 scopus 로고
    • Two notes on notation
    • May
    • D. E. Knuth. Two notes on notation. Amer. Math. Monthly, 99(5), May 1992.
    • (1992) Amer. Math. Monthly , vol.99 , Issue.5
    • Knuth, D.E.1
  • 20
    • 51749099542 scopus 로고    scopus 로고
    • One-shot learning of object categories
    • Apr.
    • F. F. Li, R. Fergus, and P. Perona. One-shot learning of object categories. IEEE PAMI, 28(4), Apr. 2006.
    • (2006) IEEE PAMI , vol.28 , Issue.4
    • Li, F.F.1    Fergus, R.2    Perona, P.3
  • 21
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV, 60(2), 2004.
    • (2004) IJCV , vol.60 , Issue.2
    • Lowe, D.G.1
  • 22
    • 0033712893 scopus 로고    scopus 로고
    • Learning from one example through shared densities on transforms
    • E. Miller, N. Matsakis, and P. Viola. Learning from one example through shared densities on transforms. In CVPR, 2000.
    • (2000) CVPR
    • Miller, E.1    Matsakis, N.2    Viola, P.3
  • 27
    • 34948870900 scopus 로고    scopus 로고
    • Unsupervised learning of invariant feature hierarchies with applications to object recognition
    • M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. LeCun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In CVPR, 2007.
    • (2007) CVPR
    • Ranzato, M.1    Huang, F.J.2    Boureau, Y.-L.3    Lecun, Y.4
  • 28
    • 56749117943 scopus 로고    scopus 로고
    • In defense of one-vs-all classification
    • R. Rifkin and A. Klautau. In defense of one-vs-all classification. JMLR, 5, 2004.
    • (2004) JMLR , vol.5
    • Rifkin, R.1    Klautau, A.2
  • 30
    • 34948845616 scopus 로고    scopus 로고
    • Matching local self-similarities across images and videos
    • E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In CVPR, 2007.
    • (2007) CVPR
    • Shechtman, E.1    Irani, M.2
  • 33
    • 34047200109 scopus 로고    scopus 로고
    • Sharing visual features for multiclass and multiview object detection
    • A. Torralba and K. P. Murphy. Sharing visual features for multiclass and multiview object detection. IEEE PAMI, 29(5), 2007.
    • (2007) IEEE PAMI , vol.29 , Issue.5
    • Torralba, A.1    Murphy, K.P.2
  • 34
    • 57549109095 scopus 로고    scopus 로고
    • Identifying relevant frames in weakly labeled videos for training concept detectors
    • A. Ulges, C. Schulze, D. Keysers, and T. Breuel. Identifying relevant frames in weakly labeled videos for training concept detectors. In CIVR, 2008.
    • (2008) CIVR
    • Ulges, A.1    Schulze, C.2    Keysers, D.3    Breuel, T.4
  • 35
    • 51949110588 scopus 로고    scopus 로고
    • Evaluation of color descriptors for object and scene recognition
    • K. van de Sande, T. Gevers, and C. Snoek. Evaluation of color descriptors for object and scene recognition. In CVPR, 2008.
    • (2008) CVPR
    • Van De Sande, K.1    Gevers, T.2    Snoek, C.3
  • 36
  • 37
    • 33745948591 scopus 로고    scopus 로고
    • Locus: Learning object classes with unsupervised segmentation
    • J. Winn and N. Jojic. LOCUS: Learning object classes with unsupervised segmentation. In ICCV, volume I, 2005.
    • (2005) ICCV , vol.1
    • Winn, J.1    Jojic, N.2
  • 38
    • 36849034452 scopus 로고    scopus 로고
    • Image region entropy: A measure of "visualness" of web images associated with one concept
    • K. Yanai and K. Barnard. Image region entropy: a measure of "visualness" of web images associated with one concept. In ACM Multimedia, 2005.
    • (2005) ACM Multimedia
    • Yanai, K.1    Barnard, K.2
  • 39
    • 84898488323 scopus 로고    scopus 로고
    • An efficient shared multi-class detection cascade
    • P. Zehnder, E. K. Meier, and L. J. V. Gool. An efficient shared multi-class detection cascade. In BMVC, 2008.
    • (2008) BMVC
    • Zehnder, P.1    Meier, E.K.2    Gool, L.J.V.3
  • 40
    • 57549087431 scopus 로고    scopus 로고
    • Probabilistic optimized ranking for multimedia semantic concept detection via RVM
    • Y.-T. Zheng, S.-Y. Neo, T.-S. Chua, and Q. Tian. Probabilistic optimized ranking for multimedia semantic concept detection via RVM. In CIVR, 2008.
    • (2008) CIVR
    • Zheng, Y.-T.1    Neo, S.-Y.2    Chua, T.-S.3    Tian, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.