[1] |
LECUN Y, BOTTOU L. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.
DOI
URL
|
[2] |
KRIZHEVSKY A, SUTSKEVER I, HINTON G E. Image-Net classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems 25, Lake Tahoe, Dec 3-6, 2012. Red Hook: Curran Associa-tes, 2012: 1106-1114.
|
[3] |
SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J]. arXiv:1409.1556, 2014.
|
[4] |
HE K M, ZHANG X Y, REN S Q, et al. Deep residual lear-ning for image recognition[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recog-nition, Las Vegas, Jun 27-30, 2016. Washington: IEEE Com-puter Society, 2016: 770-778.
|
[5] |
SZEGEDY C, VANHOUCKE V, IOFFE S, et al. Rethin-king the inception architecture for computer vision[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, Jun 27-30, 2016. Washington: IEEE Computer Society, 2016: 2818-2826.
|
[6] |
HU J, SHEN L, SUN G, et al. Squeeze-and-excitation net-works[C]// Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, Jun 18-23, 2018. Washington: IEEE Computer Society, 2018: 7132-7141.
|
[7] |
REDMON J, FARHADI A. YOLOv3: an incremental improve-ment[J]. arXiv:1804.02767, 2018.
|
[8] |
RATNER A J, EHRENBERG H R, HUSSAIN Z, et al. Lear-ning to compose domain-specific transformations for data augmentation[C]// Advances in Neural Information Proces-sing Systems 30, Long Beach, Dec 4-9, 2017. Red Hook: Curran Associates, 2017: 3236-3246.
|
[9] |
HOU P, WANG Y H, LIU Q J. A part-based and feature fu-sion method for clothing classification[C]// LNCS 9916: Pro-ceedings of the 17th Pacific-Rim Conference on Multimedia, Xi’an, Sep 15-16, 2016. Cham: Springer, 2016: 231-241.
|
[10] |
SABOUR S, FROSST N, HINTON G E. Dynamic routing between capsules[C]// Advances in Neural Information Proces-sing Systems 30, Long Beach, Dec 4-9, 2017. Red Hook: Curran Associates, 2017: 3859-3869.
|
[11] |
HINTON G E, SABOUR S, FROSST N. Matrix capsules with EM routing[C]// Proceedings of the 6th International Conference on Learning Representations, Vancouver, Apr 30-May 3, 2018: 1-15.
|
[12] |
ZHANG X K, SUN Y, WANG Y, et al. A novel effective and efficient capsule network via bottleneck residual block and automated gradual pruning[J]. Computers & Electrical Engineering, 2019, 80: 106481.
|
[13] |
CHOLLET F. Xception: deep learning with depthwise sepa-rable convolutions[J]. arXiv:1610.02357, 2016.
|
[14] |
WU Y X, HE K M. Group normalization[C]// LNCS 11217:Proceedings of the 15th European Conference on Computer Vision, Munich, Sep 8-14, 2018. Cham: Springer, 2018: 3-19.
|
[15] |
KLAMBAUER G, UNTERTHINER T, MAYR A, et al. Self-normalizing neural networks[C]// Advances in Neural Infor-mation Processing Systems 30, Long Beach, Dec 4-9, 2017. Red Hook: Curran Associates, 2017: 971-980.
|