[1] KRIZHEVSKY A, SUTSKEVER I, HINTION G E. Imagenet classification with deep convolutional neural networks[C]// Proceedings of the 25th International Conference on Neural Information Processing Systems. 2012:1097-1105.
[2] LE Q V. Building high-level features using large scale unsupervised learning[C]// 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. 2013:8595-8598.
[3] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]// 2014 IEEE Conference on Computer Vision and Pattern Recognition. 2014:580-587.
[4] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector[C]// European Conference on Computer Vision. 2015:21-37.
[5] REDMON J, FARHADI A. YOLOv3: An Incremental Improvement[EB/OL]. https://arxiv.org/abs/1804.02767, 201-04-08.
[6] SHELLHAMER E, LONG J, DARRELL T. Fully Convolutional Networks for Semantic Segmentation[[EB/OL]. https://arxiv.org/abs/1605.06211, 2016-05-20.
[7] HE K, GKIOXARI G, DOLLAR P, et al. Mask R-CNN[C]// 2017 IEEE International Conference on Computer Vision. 2017:2980-2988.
[8] LI H, LIN Z, SHEN X, et al. A convolutional neural network cascade for face detection[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recongnition. 2015:5325-5334.
[9] FARFADE S S, SABERIAN M J, LI L J. Multi-view face detection using deep convolutional neural networks[C]// Proceedings of the 5th ACM on International Conference on Multimedia Retieval. 2015:643-650.
[10]WEISS K, KHOSHGOFTAAR T M, WANG D D. A survey of transfer learning[J]. Journal of Big Data, 2016,3:9-1-9-40.
[11]ABDEL-HAMID O, MOHAMED A, JIANG H, et al. Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition[C]// 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. 2012:4277-4280.
[12]ABDEL-HAMID O, DENG L, YU D. Exploring convolutional neural network structures and optimization techniques for speech recognition[C]// The 14th Annual Conference of the International Speech Communication Association. 2013:3366-3370.
[13]冯家文,张立民,邓向阳. 双通道卷积神经网络在静态手势识别中的应用[J]. 计算机工程与应用, 2018,54(14):148-152.
[14]缑新科,王瑶. 基于特征融合的静态手势识别[J]. 计算机与数字工程, 2018,46(7):1336-1340.
[15]杨益平,闵啸. 基于计算机视觉的手势识别人机交互技术[J]. 电子技术与软件工程, 2018(12):138-139.
[16]苏军雄,见雪婷,刘玮,等. 基于可变形卷积神经网络的手势识别方法[J]. 计算机与现代化, 2018(4):62-67.
[17]徐冉,张俊格,黄凯奇. 利用双通道卷积神经网络的图像超分辨率算法[J]. 中国图象图形学报, 2016,21(5):556-564.
[18]BARROS P, MAGG S, WEBER C, et al. A multichannel convolutional neural network for hand posture recognition[C]// International Conference on Artificial Neural Networks. 2014:403-410.
[19]刘程,谭晓阳. 一种基于深度学习的移动端人脸验证[J]. 计算机与现代化, 2018(2):107-111.
|