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Volumn 2016-December, Issue , 2016, Pages 270-279

InterActive: Inter-Layer Activeness Propagation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; NEURONS; PATTERN RECOGNITION;

EID: 84986270052     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.36     Document Type: Conference Paper
Times cited : (56)

References (58)
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    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • S. Ioffe and C. Szegedy. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. International Conference on Machine Learning, 2015.
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    • Ioffe, S.1    Szegedy, C.2
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    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. Computer Vision and Pattern Recognition, 2006.
    • (2006) Computer Vision and Pattern Recognition
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 26
    • 84959188579 scopus 로고    scopus 로고
    • Deep LAC: Deep localization, alignment and classification for fine-grained recognition
    • D. Lin, X. Shen, C. Lu, and J. Jia. Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition. Computer Vision and Pattern Recognition, 2015.
    • (2015) Computer Vision and Pattern Recognition
    • Lin, D.1    Shen, X.2    Lu, C.3    Jia, J.4
  • 30
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. International Journal on Computer Vision, 60 (2): 91-110, 2004.
    • (2004) International Journal on Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 47
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    • The application of two-level attention models in deep convolutional neural network for fine-grained image classification
    • T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang. The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification. Computer Vision and Pattern Recognition, 2015.
    • (2015) Computer Vision and Pattern Recognition
    • Xiao, T.1    Xu, Y.2    Yang, K.3    Zhang, J.4    Peng, Y.5    Zhang, Z.6
  • 49
    • 84898053449 scopus 로고    scopus 로고
    • Spatial pooling of heterogeneous features for image classification
    • L. Xie, Q. Tian, M. Wang, and B. Zhang. Spatial Pooling of Heterogeneous Features for Image Classification. IEEE Transactions on Image Processing, 23 (5): 1994-2008, 2014.
    • (2014) IEEE Transactions on Image Processing , vol.23 , Issue.5 , pp. 1994-2008
    • Xie, L.1    Tian, Q.2    Wang, M.3    Zhang, B.4
  • 53
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    • Linear spatial pyramid matching using sparse coding for image classification
    • J. Yang, K. Yu, Y. Gong, and T. Huang. Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification. Computer Vision and Pattern Recognition, pages 1794-1801, 2009.
    • (2009) Computer Vision and Pattern Recognition , pp. 1794-1801
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.