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Volumn , Issue , 2012, Pages

Multi-modal region selection approach for training object detectors

Author keywords

Large scale dataset; MIRFLICKR; Multi modal; Object detection; Region selection; Self training

Indexed keywords

DATA SETS; MIRFLICKR; MULTI-MODAL; OBJECT DETECTION; REGION SELECTION; SELF-TRAINING;

EID: 84864139816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2324796.2324803     Document Type: Conference Paper
Times cited : (3)

References (24)
  • 9
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91-110, 2004.
    • (2004) Int. J. Comput. Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 11
    • 3142705010 scopus 로고    scopus 로고
    • Still image segmentation tools for object-based multimedia applications
    • V. Mezaris, I. Kompatsiaris, and M. G. Strintzis. Still image segmentation tools for object-based multimedia applications. IJPRAI, 18(4):701-725, 2004.
    • (2004) IJPRAI , vol.18 , Issue.4 , pp. 701-725
    • Mezaris, V.1    Kompatsiaris, I.2    Strintzis, M.G.3
  • 12
    • 77952357661 scopus 로고    scopus 로고
    • How reliable are annotations via crowdsourcing: A study about inter-annotator agreement for multi-label image annotation
    • New York, NY, USA, ACM
    • S. Nowak and S. Rüger. How reliable are annotations via crowdsourcing: a study about inter-annotator agreement for multi-label image annotation. In Proceedings of the international conference on Multimedia information retrieval, MIR '10, pages 557-566, New York, NY, USA, 2010. ACM.
    • (2010) Proceedings of the International Conference on Multimedia Information Retrieval, MIR '10 , pp. 557-566
    • Nowak, S.1    Rüger, S.2
  • 14
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • S. Raudys and A. Jain. Small sample size effects in statistical pattern recognition: Recommendations for practitioners. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:252-264, 1991.
    • (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , pp. 252-264
    • Raudys, S.1    Jain, A.2
  • 15
    • 78650974747 scopus 로고    scopus 로고
    • Leveraging loosely-tagged images and inter-object correlations for tag recommendation
    • New York, NY, USA, ACM
    • Y. Shen and J. Fan. Leveraging loosely-tagged images and inter-object correlations for tag recommendation. In Proceedings of the international conference on Multimedia, MM '10, pages 5-14, New York, NY, USA, 2010. ACM.
    • (2010) Proceedings of the International Conference on Multimedia, MM '10 , pp. 5-14
    • Shen, Y.1    Fan, J.2
  • 21
  • 22
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • DOI 10.1007/s11263-006-9794-4
    • J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. Int. J. Comput. Vision, 73(2):213-238, 2007. (Pubitemid 46181625)
    • (2007) International Journal of Computer Vision , vol.73 , Issue.2 , pp. 213-238
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4
  • 23
    • 79959703618 scopus 로고    scopus 로고
    • Active learning through notes data in flickr: An effortless training data acquisition approach for object localization
    • New York, NY, USA, ACM
    • L. Zhang, J. Ma, C. Cui, and P. Li. Active learning through notes data in flickr: an effortless training data acquisition approach for object localization. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR '11, pages 46:1-46:8, New York, NY, USA, 2011. ACM.
    • (2011) Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR '11 , pp. 461-468
    • Zhang, L.1    Ma, J.2    Cui, C.3    Li, P.4
  • 24
    • 33745456231 scopus 로고    scopus 로고
    • Semi-Supervised learning literature survey
    • University of Wisconsin-Madison
    • X. Zhu. Semi-Supervised learning literature survey. Technical report, Computer Sciences, University of Wisconsin-Madison, 2005.
    • (2005) Technical Report, Computer Sciences
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.