메뉴 건너뛰기




Volumn , Issue , 2015, Pages 502-509

Learning localized perceptual similarity metrics for interactive categorization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS;

EID: 84925438496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2015.73     Document Type: Conference Paper
Times cited : (11)

References (59)
  • 2
  • 3
    • 84898786589 scopus 로고    scopus 로고
    • How do you tell a blackbird from a crow?
    • T. Berg and P. N. Belhumeur. How do you tell a blackbird from a crow? In ICCV, 2013.
    • (2013) ICCV
    • Berg, T.1    Belhumeur, P.N.2
  • 4
    • 84887356895 scopus 로고    scopus 로고
    • POOF : Part-based one-vs-one features for fine-grained categorization, face verification, and attribute estimation
    • T. Berg and P. N. Belhumeur. POOF : Part-based one-vs-one features for fine-grained categorization, face verification, and attribute estimation. In CVPR, 2013.
    • (2013) CVPR
    • Berg, T.1    Belhumeur, P.N.2
  • 5
    • 80052896727 scopus 로고    scopus 로고
    • Automatic attribute discovery and characterization from noisy web data
    • T. Berg, A. Berg, and J. Shih. Automatic attribute discovery and characterization from noisy web data. In ECCV, 2010.
    • (2010) ECCV
    • Berg, T.1    Berg, A.2    Shih, J.3
  • 6
    • 84925395313 scopus 로고    scopus 로고
    • Active image clustering: Seeking constraints from humans to complement algorithms
    • A. Biswas and D. Jacobs. Active image clustering: Seeking constraints from humans to complement algorithms. In CVPR, 2013.
    • (2013) CVPR
    • Biswas, A.1    Jacobs, D.2
  • 7
    • 84887349875 scopus 로고    scopus 로고
    • Simultaneous active learning of classifiers & attributes via relative feedback
    • A. Biswas and D. Parikh. Simultaneous active learning of classifiers & attributes via relative feedback. In CVPR, 2013.
    • (2013) CVPR
    • Biswas, A.1    Parikh, D.2
  • 8
    • 85112851150 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d human pose annotations
    • L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In ICCV, 2009.
    • (2009) ICCV
    • Bourdev, L.1    Malik, J.2
  • 9
    • 79960230920 scopus 로고    scopus 로고
    • Visual recognition with humans in the loop
    • S. Branson et al. Visual recognition with humans in the loop. In ECCV, 2010.
    • (2010) ECCV
    • Branson, S.1
  • 10
    • 84898771336 scopus 로고    scopus 로고
    • Symbiotic segmentation and part localization for fine-grained categorization
    • Y. Chai, V. Lempitsky, and A. Zisserman. Symbiotic segmentation and part localization for fine-grained categorization. In ICCV, 2013.
    • (2013) ICCV
    • Chai, Y.1    Lempitsky, V.2    Zisserman, A.3
  • 11
    • 84898947326 scopus 로고    scopus 로고
    • Similarity component analysis
    • S. Changpinyo, K. Liu, and F. Sha. Similarity component analysis. In NIPS, 2013.
    • (2013) NIPS
    • Changpinyo, S.1    Liu, K.2    Sha, F.3
  • 12
    • 84887325349 scopus 로고    scopus 로고
    • Fine-grained crowdsourcing for fine-grained recognition
    • J. Deng, J. Krause, and L. Fei-Fei. Fine-grained crowdsourcing for fine-grained recognition. In CVPR, 2013.
    • (2013) CVPR
    • Deng, J.1    Krause, J.2    Fei-Fei, L.3
  • 13
    • 84872258949 scopus 로고    scopus 로고
    • What makes Paris look like Paris?
    • July
    • C. Doersch et al. What makes Paris look like Paris? ACM Transactions on Graphics, 31(4):1-9, July 2012.
    • (2012) ACM Transactions on Graphics , vol.31 , Issue.4 , pp. 1-9
    • Doersch, C.1
  • 14
    • 84856671941 scopus 로고    scopus 로고
    • Annotator rationales for visual recognition
    • J. Donahue and K. Grauman. Annotator rationales for visual recognition. In ICCV, 2011.
    • (2011) ICCV
    • Donahue, J.1    Grauman, K.2
  • 18
    • 84900855291 scopus 로고    scopus 로고
    • Experiments in mental face retrieval
    • Y. Fang and D. Geman. Experiments in mental face retrieval. In AVBPA, 2005.
    • (2005) AVBPA
    • Fang, Y.1    Geman, D.2
  • 20
    • 84856640018 scopus 로고    scopus 로고
    • Birdlets: Subordinate categorization using volumetric primitives and posenormalized appearance
    • R. Farrell, O. Oza, V. I. Morariu, T. Darrell, and L. S. Davis. Birdlets: Subordinate categorization using volumetric primitives and posenormalized appearance. In ICCV, 2011.
    • (2011) ICCV
    • Farrell, R.1    Oza, O.2    Morariu, V.I.3    Darrell, T.4    Davis, L.S.5
  • 21
    • 65549145185 scopus 로고    scopus 로고
    • A statistical framework for category search from a mental picture
    • M. Ferecatu and D. Geman. A statistical framework for category search from a mental picture. TPAMI, 2009.
    • (2009) TPAMI
    • Ferecatu, M.1    Geman, D.2
  • 24
    • 84887325186 scopus 로고    scopus 로고
    • Blocks that shout: Distinctive parts for scene classification
    • M. Juneja, A. Vedaldi, C. Jawahar, and A. Zisserman. Blocks that shout: Distinctive parts for scene classification. In CVPR, 2013.
    • (2013) CVPR
    • Juneja, M.1    Vedaldi, A.2    Jawahar, C.3    Zisserman, A.4
  • 25
    • 84856645721 scopus 로고    scopus 로고
    • Actively selecting annotations among objects and attributes
    • A. Kovashka, S. Vijayanarasimhan, and K. Grauman. Actively selecting annotations among objects and attributes. In ICCV, 2011.
    • (2011) ICCV
    • Kovashka, A.1    Vijayanarasimhan, S.2    Grauman, K.3
  • 26
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • N. Kumar et al. Attribute and simile classifiers for face verification. In ICCV, 2009.
    • (2009) ICCV
    • Kumar, N.1
  • 27
    • 84877615617 scopus 로고    scopus 로고
    • Leafsnap: A computer vision system for automatic plant species identification
    • N. Kumar et al. Leafsnap: A computer vision system for automatic plant species identification. In ECCV, 2012.
    • (2012) ECCV
    • Kumar, N.1
  • 28
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. Lampert et al. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.1
  • 29
    • 84875715104 scopus 로고    scopus 로고
    • Human computation for attribute and attribute value acquisition
    • E. Law et al. Human computation for attribute and attribute value acquisition. In CVPR FGVC Workshop, 2011.
    • (2011) CVPR FGVC Workshop
    • Law, E.1
  • 30
    • 84892457941 scopus 로고    scopus 로고
    • Input-agreement: A new mechanism for data collection using human computation games
    • E. Law and L. von Ahn. Input-agreement: A new mechanism for data collection using human computation games. In CHI, 2009.
    • (2009) CHI
    • Law, E.1    Von Ahn, L.2
  • 31
    • 84925395309 scopus 로고    scopus 로고
    • Style-aware mid-level representation for discovering visual connections in space and time
    • Y. J. Lee et al. Style-aware mid-level representation for discovering visual connections in space and time. In CVPR, 2013.
    • (2013) CVPR
    • Lee, Y.J.1
  • 36
    • 84887369376 scopus 로고    scopus 로고
    • Part discovery from partial correspondences
    • S. Maji and G. Shakhnarovich. Part discovery from partial correspondences. In CVPR, 2013.
    • (2013) CVPR
    • Maji, S.1    Shakhnarovich, G.2
  • 37
    • 77956528213 scopus 로고    scopus 로고
    • Metric learning to rank
    • June
    • B. McFee and G. Lanckriet. Metric learning to rank. In ICML, June 2010.
    • (2010) ICML
    • McFee, B.1    Lanckriet, G.2
  • 38
    • 79952712776 scopus 로고    scopus 로고
    • Learning multi-modal similarity
    • B. McFee and G. Lanckriet. Learning multi-modal similarity. JMLR, 2011.
    • (2011) JMLR
    • McFee, B.1    Lanckriet, G.2
  • 39
    • 65249121810 scopus 로고    scopus 로고
    • Automated flower classification over a large number of classes
    • M. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICCVGIP, 2008.
    • (2008) ICCVGIP
    • Nilsback, M.1    Zisserman, A.2
  • 40
    • 80052900722 scopus 로고    scopus 로고
    • Interactively building a discriminative vocabulary of nameable attributes
    • D. Parikh and K. Grauman. Interactively building a discriminative vocabulary of nameable attributes. In CVPR, 2011.
    • (2011) CVPR
    • Parikh, D.1    Grauman, K.2
  • 41
  • 42
    • 84898822628 scopus 로고    scopus 로고
    • Implied feedback: Learning nuances of user behavior in image search
    • D. Parikh and K. Grauman. Implied feedback: Learning nuances of user behavior in image search. In ICCV, 2013.
    • (2013) ICCV
    • Parikh, D.1    Grauman, K.2
  • 43
    • 84887393691 scopus 로고    scopus 로고
    • Attributes for classifier feedback
    • A. Parkash and D. Parikh. Attributes for classifier feedback. In ECCV, 2012.
    • (2012) ECCV
    • Parkash, A.1    Parikh, D.2
  • 44
    • 0003243224 scopus 로고    scopus 로고
    • Probabilities for SV machines
    • J. Platt. Probabilities for SV machines. In NIPS, 1999.
    • (1999) NIPS
    • Platt, J.1
  • 45
    • 77955989949 scopus 로고    scopus 로고
    • What helps where-and why? Semantic relatedness for knowledge transfer
    • M. Rohrbach et al. What helps where-and why? semantic relatedness for knowledge transfer. In CVPR, 2010.
    • (2010) CVPR
    • Rohrbach, M.1
  • 46
    • 9444220002 scopus 로고    scopus 로고
    • Learning a distance metric from relative comparisons
    • M. Schultz and T. Joachims. Learning a distance metric from relative comparisons. In NIPS, 2003.
    • (2003) NIPS
    • Schultz, M.1    Joachims, T.2
  • 47
    • 84887386223 scopus 로고    scopus 로고
    • Constrained semi-supervised learning using attributes and comparative attributes
    • A. Shrivastava, S. Singh, and A. Gupta. Constrained semi-supervised learning using attributes and comparative attributes. In ECCV, 2012.
    • (2012) ECCV
    • Shrivastava, A.1    Singh, S.2    Gupta, A.3
  • 48
    • 84884958786 scopus 로고    scopus 로고
    • Unsupervised discovery of mid-level discriminative patches
    • S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
    • (2012) ECCV
    • Singh, S.1    Gupta, A.2    Efros, A.A.3
  • 50
    • 84858338044 scopus 로고    scopus 로고
    • Visualizing non-metric similarities in multiple maps
    • L. van der Maaten and G. Hinton. Visualizing non-metric similarities in multiple maps. ML, 2012.
    • (2012) ML
    • Maaten Der L.Van1    Hinton, G.2
  • 52
    • 84911451595 scopus 로고    scopus 로고
    • Understanding objects in detail with fine-grained attributes
    • A. Vedaldi et al. Understanding objects in detail with fine-grained attributes. In CVPR, 2014.
    • (2014) CVPR
    • Vedaldi, A.1
  • 54
    • 33745852223 scopus 로고    scopus 로고
    • Peekaboom: A game for locating objects in images
    • L. von Ahn, R. Liu, and M. Blum. Peekaboom: A game for locating objects in images. In CHI, pages 55-64, 2009.
    • (2009) CHI , pp. 55-64
    • Von Ahn, L.1    Liu, R.2    Blum, M.3
  • 55
    • 84911412728 scopus 로고    scopus 로고
    • Multiclass rec. and localization with humans in the loop
    • C. Wah, S. Branson, P. Perona, and S. Belongie. Multiclass rec. and localization with humans in the loop. In ICCV, 2011.
    • (2011) ICCV
    • Wah, C.1    Branson, S.2    Perona, P.3    Belongie, S.4
  • 56
    • 84878084353 scopus 로고    scopus 로고
    • Technical Report CNS-TR-2011-001, Caltech
    • C. Wah et al. Caltech-UCSD Birds-200-2011. Technical Report CNS-TR-2011-001, Caltech, 2011.
    • (2011) Caltech-UCSD Birds-200-2011
    • Wah, C.1
  • 57
    • 84911368243 scopus 로고    scopus 로고
    • Similarity comparisons for interactive fine-grained categorization
    • C.Wah et al. Similarity comparisons for interactive fine-grained categorization. In CVPR, 2014.
    • (2014) CVPR
    • Wah, C.1
  • 58
    • 84898819241 scopus 로고    scopus 로고
    • Deformable part descriptors for fine-grained recognition and attribute prediction
    • N. Zhang et al. Deformable part descriptors for fine-grained recognition and attribute prediction. In ICCV, 2013.
    • (2013) ICCV
    • Zhang, N.1
  • 59
    • 84887383201 scopus 로고    scopus 로고
    • Learning class-to-image distance with object matchings
    • G.-T. Zhou, T. Lan, W. Yang, and G. Mori. Learning class-to-image distance with object matchings. In CVPR, 2013.
    • (2013) CVPR
    • Zhou, G.-T.1    Lan, T.2    Yang, W.3    Mori, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.