메뉴 건너뛰기




Volumn , Issue , 2012, Pages 3162-3169

Active learning for semantic segmentation with expected change

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING METHODS; CLASS LABELS; DATA SETS; SEMANTIC CLASS; SEMANTIC SEGMENTATION;

EID: 84866706762     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248050     Document Type: Conference Paper
Times cited : (134)

References (29)
  • 1
    • 80052871895 scopus 로고    scopus 로고
    • Graph cut based inference with co-occurrence statistics
    • 1, 2, 3
    • L. Ladicky, C. Russell, P. Kohli, and P. Torr, "Graph cut based inference with co-occurrence statistics.," in ECCV, 2010. 1, 2, 3
    • (2010) ECCV
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.4
  • 2
    • 84856683375 scopus 로고    scopus 로고
    • Associative hierarchical crfs for object class image segmentation
    • 1, 2, 3
    • L. Ladicky, C. Russell, and P. Kohli, "Associative hierarchical crfs for object class image segmentation," in CVPR, 2009. 1, 2, 3
    • (2009) CVPR
    • Ladicky, L.1    Russell, C.2    Kohli, P.3
  • 3
    • 51949098412 scopus 로고    scopus 로고
    • Robust higher order potentials for enforcing label consistency
    • 1, 2, 3
    • P. Kohli, L. Ladicky, and P. Torr, "Robust higher order potentials for enforcing label consistency.," in CVPR, 2008. 1, 2, 3
    • (2008) CVPR
    • Kohli, P.1    Ladicky, L.2    Torr, P.3
  • 4
    • 51949114829 scopus 로고    scopus 로고
    • Semantic texton forests for image categorization and segmentation
    • 1, 2, 5, 6
    • J. Shotton, M. Johnson, and R. Cipolla., "Semantic texton forests for image categorization and segmentation," in ECCV, 2008. 1, 2, 5, 6
    • (2008) ECCV
    • Shotton, J.1    Johnson, M.2    Cipolla, R.3
  • 5
    • 33845423382 scopus 로고    scopus 로고
    • Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • 1, 2, 3, 5, 6
    • J. Shotton, J.Winn, C. Rother, and A. Criminisi, "Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation," in ECCV, 2006. 1, 2, 3, 5, 6
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 6
    • 84856684049 scopus 로고    scopus 로고
    • Weakly supervised semantic segmentation with a multi image model
    • 1, 2, 3, 6
    • A. Vezhnevets, V. Ferrari, and J. Buhmann, "Weakly supervised semantic segmentation with a multi image model," in ICCV, 2011. 1, 2, 3, 6
    • (2011) ICCV
    • Vezhnevets, A.1    Ferrari, V.2    Buhmann, J.3
  • 7
    • 77955986468 scopus 로고    scopus 로고
    • Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
    • 1, 2, 5
    • A. Vezhnevets and J. Buhmann, "Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning.," in CVPR, 2010. 1, 2, 5
    • (2010) CVPR
    • Vezhnevets, A.1    Buhmann, J.2
  • 8
    • 34948814611 scopus 로고    scopus 로고
    • Region classification with markov field aspect models
    • 1, 2, 3
    • J. Verbeek and B. Triggs, "Region classification with markov field aspect models," in CVPR, 2007. 1, 2, 3
    • (2007) CVPR
    • Verbeek, J.1    Triggs, B.2
  • 9
    • 70450197013 scopus 로고    scopus 로고
    • What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
    • 1, 2, 4
    • S. Vijayanarasimhan and K. Grauman, "What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations," in CVPR, pp. 2262-2269, 2009. 1, 2, 4
    • (2009) CVPR , pp. 2262-2269
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 10
    • 77955986969 scopus 로고    scopus 로고
    • Beyond active noun tagging: Modeling contextual interactions for multi-class active learning
    • 1, 2, 4, 6
    • B. Siddiquie and A. Gupta, "Beyond active noun tagging: Modeling contextual interactions for multi-class active learning.," in CVPR, 2010. 1, 2, 4, 6
    • (2010) CVPR
    • Siddiquie, B.1    Gupta, A.2
  • 11
    • 50649102302 scopus 로고    scopus 로고
    • Active learning with gaussian processes for object categorization
    • 1, 2, 4
    • A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell, "Active learning with gaussian processes for object categorization," in ICCV, pp. 1-8, 2007. 1, 2, 4
    • (2007) ICCV , pp. 1-8
    • Kapoor, A.1    Grauman, K.2    Urtasun, R.3    Darrell, T.4
  • 12
    • 70450181250 scopus 로고    scopus 로고
    • Multi-class active learning for image classification
    • 1, 2, 4
    • A. J., F. Porikli, and N. Papanikolopoulos, "Multi-class active learning for image classification," in CVPR, 2009. 1, 2, 4
    • (2009) CVPR
    • J, A.1    Porikli, F.2    Papanikolopoulos, N.3
  • 13
    • 36249013608 scopus 로고    scopus 로고
    • Dynamic graph cuts for efficient inference in markov random fields
    • 1, 5
    • P. Kohli and P. H. S. Torr, "Dynamic graph cuts for efficient inference in markov random fields," TPAMI, vol. 29, no. 12, pp. 2079-2088, 2007. 1, 5
    • (2007) TPAMI , vol.29 , Issue.12 , pp. 2079-2088
    • Kohli, P.1    Torr, P.H.S.2
  • 14
    • 70450169911 scopus 로고    scopus 로고
    • Nonparametric scene parsing: Label transfer via dense scene alignment
    • 2, 5, 6
    • C. Liu, J. Yuen, and A. Torralba, "Nonparametric scene parsing: label transfer via dense scene alignment.," in CVPR, 2009. 2, 5, 6
    • (2009) CVPR
    • Liu, C.1    Yuen, J.2    Torralba, A.3
  • 15
    • 80052905596 scopus 로고    scopus 로고
    • Large-scale live active learning: Training object detectors with crawled data and crowds
    • 2
    • S. Vijayanarasimhan and K. Grauman, "Large-scale live active learning: Training object detectors with crawled data and crowds," in CVPR, 2011. 2
    • (2011) CVPR
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 16
    • 85058225616 scopus 로고    scopus 로고
    • Multi-level active prediction of useful image annotations for recognition
    • 2, 4
    • S. Vijayanarasimhan and K. Grauman, "Multi-level active prediction of useful image annotations for recognition," in NIPS, 2008. 2, 4
    • (2008) NIPS
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 17
    • 77956053832 scopus 로고    scopus 로고
    • Optimal value of information in graphical models
    • 2
    • A. Krause and C. Guestrin, "Optimal value of information in graphical models," J. Artif. Intell. Res. (JAIR), pp. 557-591, 2009. 2
    • (2009) J. Artif. Intell. Res. (JAIR) , pp. 557-591
    • Krause, A.1    Guestrin, C.2
  • 18
    • 67650691734 scopus 로고    scopus 로고
    • Near-optimal nonmyopic value of information in graphical models
    • July. 2
    • A. Krause and C. Guestrin, "Near-optimal nonmyopic value of information in graphical models," in UAI, July 2005. 2
    • (2005) UAI
    • Krause, A.1    Guestrin, C.2
  • 19
    • 84860619495 scopus 로고    scopus 로고
    • Fast information value for graphical models
    • 2
    • B. Anderson and A.W. Moore, "Fast information value for graphical models," in NIPS, 2005. 2
    • (2005) NIPS
    • Anderson, B.1    Moore, A.W.2
  • 20
    • 56449106624 scopus 로고    scopus 로고
    • Multiple-instance active learning
    • MIT Press. 2
    • B. Settles, M. Craven, and S. Ray, "Multiple-instance active learning," in NIPS, pp. 1289-1296, MIT Press, 2007. 2
    • (2007) NIPS , pp. 1289-1296
    • Settles, B.1    Craven, M.2    Ray, S.3
  • 22
    • 0344940838 scopus 로고    scopus 로고
    • What energy functions can be minimized via graph cuts?
    • 3
    • V. Kolmogorov and R. Zabih, "What energy functions can be minimized via graph cuts?," in ECCV, 2002. 3
    • (2002) ECCV
    • Kolmogorov, V.1    Zabih, R.2
  • 23
    • 84856645812 scopus 로고    scopus 로고
    • Cuts for optimal boundary and region segmentation of objects in n-d images
    • 3, 5
    • Y. Boykov and M.-P. Jolly, "Cuts for optimal boundary and region segmentation of objects in n-d images.," in CVPR, 2001. 3, 5
    • (2001) CVPR
    • Boykov, Y.1    Jolly, M.-P.2
  • 24
    • 0035509961 scopus 로고    scopus 로고
    • Efficient approximate energy minimization via graph cuts
    • 3
    • Y. Boykov, O. Veksler, and R. Zabih, "Efficient approximate energy minimization via graph cuts.," TPAMI, 2001. 3
    • (2001) TPAMI
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 25
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • 3
    • Y. Boykov and V. Kolmogorov, "An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision.," TPAMI, 2004. 3
    • (2004) TPAMI
    • Boykov, Y.1    Kolmogorov, V.2
  • 26
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on riemannian manifolds
    • 3
    • M. Belkin and P. Niyogi, "Semi-supervised learning on riemannian manifolds," Machine Learning, pp. 209-239, 2004. 3
    • (2004) Machine Learning , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 27
    • 0003037529 scopus 로고
    • Reducibility among combinatorial problems
    • (R. Miller and J. Thatcher, eds.), Plenum Press. 5
    • R. Karp, "Reducibility among combinatorial problems," in Complexity of Computer Computations (R. Miller and J. Thatcher, eds.), pp. 85-103, Plenum Press, 1972. 5
    • (1972) Complexity of Computer Computations , pp. 85-103
    • Karp, R.1
  • 28
    • 23744513375 scopus 로고    scopus 로고
    • Constructing freeenergy approximations and generalized belief propagation algorithms
    • 6
    • J. S. Yedidia, W. T. Freeman, and Y. Weiss, "Constructing freeenergy approximations and generalized belief propagation algorithms.," IEEE Transactions on Information Theory, pp. 2282-2312, 2005. 6
    • (2005) IEEE Transactions on Information Theory , pp. 2282-2312
    • Yedidia, J.S.1    Freeman, W.T.2    Weiss, Y.3
  • 29
    • 77953202699 scopus 로고    scopus 로고
    • Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
    • sep. 6
    • M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, "Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation," in ICCV, pp. 309-316, sep 2009. 6
    • (2009) ICCV , pp. 309-316
    • Guillaumin, M.1    Mensink, T.2    Verbeek, J.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.