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Volumn 4, Issue January, 2014, Pages 3536-3544

LSDA: Large scale detection through adaptation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DEEP NEURAL NETWORKS; NEURAL NETWORKS; OBJECT DETECTION; TREES (MATHEMATICS);

EID: 84924803045     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (321)

References (28)
  • 1
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proc. CVPR, 2014.
    • (2014) Proc. CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 4
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet classification with deep convolutional neural networks. In Proc. NIPS, 2012.
    • (2012) Proc. NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 10
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant key points
    • D. G. Lowe. Distinctive image features from scale-invariant key points. IJCV, 2004.
    • (2004) IJCV
    • Lowe, D.G.1
  • 11
    • 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 Proc. CVPR, 2005.
    • (2005) Proc. CVPR
    • Dalal, N.1    Triggs, B.2
  • 12
    • 80052895155 scopus 로고    scopus 로고
    • What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
    • B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In Proc. CVPR, 2011.
    • (2011) Proc. CVPR
    • Kulis, B.1    Saenko, K.2    Darrell, T.3
  • 13
    • 49549114434 scopus 로고    scopus 로고
    • Adapting SVM classifiers to data with shifted distributions
    • J. Yang, R. Yan, and A. Hauptmann. Adapting SVM classifiers to data with shifted distributions. In ICDM Workshops, 2007.
    • (2007) ICDM Workshops
    • Yang, J.1    Yan, R.2    Hauptmann, A.3
  • 14
    • 84856675275 scopus 로고    scopus 로고
    • Tabula rasa: Model transfer for object category detection
    • Y. Aytar and A. Zisserman. Tabula rasa: Model transfer for object category detection. In Proc. ICCV, 2011.
    • (2011) Proc. ICCV
    • Aytar, Y.1    Zisserman, A.2
  • 16
    • 84867113087 scopus 로고    scopus 로고
    • Learning with augmented features for heterogeneous domain adaptation
    • L. Duan, D. Xu, and Ivor W. Tsang. Learning with augmented features for heterogeneous domain adaptation. In Proc. ICML, 2012.
    • (2012) Proc. ICML
    • Duan, L.1    Xu, D.2    Tsang, I.W.3
  • 17
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive svms
    • J. Yang, R. Yan, and A. G. Hauptmann. Cross-domain video concept detection using adaptive svms. ACM Multimedia, 2007.
    • (2007) ACM Multimedia
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3
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  • 28
    • 84928278589 scopus 로고    scopus 로고
    • Spatial pyramid pooling in deep convolutional networks for visual recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In Proc. ECCV, 2014.
    • (2014) Proc. ECCV
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.