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Volumn , Issue , 2012, Pages 3492-3495

Unsupervised domain adaptation of virtual and real worlds for pedestrian detection

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION PROCESS; DATASET SHIFTS; DOMAIN ADAPTATION; DRIVER ASSISTANCE SYSTEM; HUMAN INTERVENTION; MANUAL PROCESS; OBJECT DETECTORS; OBJECT MODEL; PEDESTRIAN DETECTION; REALISTIC COMPUTER GRAPHICS; SELF-LEARN; SELF-TRAINING; TRANSDUCTIVE SVM; VISION BASED; VISION SYSTEMS;

EID: 84874575811     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (17)
  • 3
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    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, San Diego, CA, USA, 2005.
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    • Dalal, N.1    Triggs, B.2
  • 4
    • 84857435937 scopus 로고    scopus 로고
    • Pedestrian detection: An evaluation of the state of the art
    • August
    • P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: an evaluation of the state of the art. IEEE Trans. on PAMI, 34(4):743-761, August 2012.
    • (2012) IEEE Trans. on PAMI , vol.34 , Issue.4 , pp. 743-761
    • Dollár, P.1    Wojek, C.2    Schiele, B.3    Perona, P.4
  • 5
    • 79960822863 scopus 로고    scopus 로고
    • A multi-level mixture-of-experts framework for pedestrian classification
    • M. Enzweiler and D.M. Gavrila. A multi-level mixture-of-experts framework for pedestrian classification. IEEE Trans. on IP, 20(10):2967-2979, 2011.
    • (2011) IEEE Trans. on IP , vol.20 , Issue.10 , pp. 2967-2979
    • Enzweiler, M.1    Gavrila, D.M.2
  • 6
    • 70350620710 scopus 로고    scopus 로고
    • Monocular pedestrian detection: Survey and experiments
    • M. Enzweiler and D. Gavrila. Monocular pedestrian detection: survey and experiments. IEEE Trans. on PAMI, 31(12):2179-2195, 2009.
    • (2009) IEEE Trans. on PAMI , vol.31 , Issue.12 , pp. 2179-2195
    • Enzweiler, M.1    Gavrila, D.2
  • 7
    • 77951298115 scopus 로고    scopus 로고
    • The pascal visual object classes (voc) challenge
    • M. Everingham, L. V. Gool, C. Williams, J. Winn, and A. Zisserman. The PASCAL visual object classes (VOC) challenge. IJCV, 88(2):303-338, 2010.
    • (2010) IJCV , vol.88 , Issue.2 , pp. 303-338
    • Everingham, M.1    Gool, L.V.2    Williams, C.3    Winn, J.4    Zisserman, A.5
  • 8
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part based models
    • P. Felzenszwalb, R. Girshick, D.McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. IEEE Trans. on PAMI, 32(9):1627-1645, 2010.
    • (2010) IEEE Trans. on PAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.1    Girshick, R.2    McAllester, D.3    Ramanan, D.4
  • 9
    • 77952647953 scopus 로고    scopus 로고
    • Survey of pedestrian detection for advanced driver assistance systems
    • D. Gerónimo, A.M. López, A.D. Sappa, and T. Graf. Survey of pedestrian detection for advanced driver assistance systems. IEEE Trans. on PAMI, 32(7):1239-1258, 2010.
    • (2010) IEEE Trans. on PAMI , vol.32 , Issue.7 , pp. 1239-1258
    • Gerónimo, D.1    López, A.M.2    Sappa, A.D.3    Graf, T.4
  • 11
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    • Transductive inference for text classification using support vector machines
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    • (1999) ICML, Bled, Slovenia
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  • 16
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    • An hog-lbp human detector with partial occlusion handling
    • X. Wang, T.X. Han, and S. Yan. An HOG-LBP human detector with partial occlusion handling. In ICCV, Kyoto, Japan, 2009.
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    • Wang, X.1    Han, T.X.2    Yan, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.