Open Access
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
Article Number 03081
Number of page(s) 4
Section Digital Signal and Image Processing
Published online 19 June 2018
  1. Vivienne Sze,Yu-Hsin Chen.Efficient Processing of Deep Neural Networks:A Tutorial and Survry in Proceedings of the IEEE,2017,105(12):2295-2329 [Google Scholar]
  2. Joseph Redmon,Santosh Divvala,Ross Girsick.You Only Look Once:Unified, Real-Time Object Detection in IEEE Conference on Computer Vision & Pattern Recongnition, 2016:779-788 [Google Scholar]
  3. Joseph Redmon, Ali Farhadi. YOLO9000: Better, Faster, Stronger in IEEE Computer Society [Google Scholar]
  4. Wen W,Wu C,Wang Y,et al.Learning Structured Sparsity in Deep Neural Networks in Advances in Neural Information Processing Systems,2016 [Google Scholar]
  5. Faraone J,Fraser N,Gambardella G,et al.Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks in International Conference on Neural Information Processing,2017:393-404 [Google Scholar]
  6. Liu J,Chi L H,Xie L C,et al.A peak performance model for Matrix multiplication on general-purpose DSP in Hunan Daxue Xuebao/journal of Hunan University Natural Sciences,2013,40(11):148-152 [Google Scholar]
  7. Shen J,Huang Y,Wang Z,et al.Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA[C]//Hunan Acm/sigda International Symposium. ACM,2018:97-106 [Google Scholar]
  8. Huang D,Luo L,Chen Z,et al.Applying Dectection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability[J]. International Journal of Computer Vision,2017,122(3):524-541 [CrossRef] [Google Scholar]
  9. Wang Y,Chen S,Chen H,et al.Dual-Core Framework:Eliminating the Bottleneck Effect of Scalar Kernels on SIMD Architectures[J].Ieice Transactions on Information & Systems,2013,E96.D(2):365-369 [CrossRef] [Google Scholar]
  10. Wang Y,Chen S,Wan J,et al.A multiple SIMD, multiple data(MSMD)architecture:Parallel execution of dynamic and static SIMD fragments[J]. 2013:603-614 [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.