Open Access
Issue
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
Article Number 03003
Number of page(s) 6
Section Cloud & Network
DOI https://doi.org/10.1051/matecconf/201818903003
Published online 10 August 2018
  1. Szegedy C, Vanhoucke V, Ioffe S, et al. Rethinking the Inception Architecture for Computer Vision[J]. Computer Science, 2015:2818-2826. [Google Scholar]
  2. Weiss K, Khoshgoftaar T M, Wang D D. A survey of transfer learning[J]. Journal of Big Data, 2016, 3(1):9. [CrossRef] [Google Scholar]
  3. Zeiler M D, Fergus R. Visualizing and Understanding Convolutional Networks[J]. 2013, 8689:818-833. [Google Scholar]
  4. Sun C, Shrivastava A, Singh S, et al. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era[J]. 2017:843-852. [Google Scholar]
  5. Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]// International Conference on Neural Information Processing Systems. Curran Associates Inc. 2012:1097-1105. [Google Scholar]
  6. Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]// IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2015:1-9. [Google Scholar]
  7. Liu W, Wen Y, Yu Z, et al. Large-Margin Softmax Loss for Convolutional Neural Networks[J]. 2016:507-516. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.