Wyniki wyszukiwania dla: MOBILENETS

• Residual MobileNets

  Publikacja

  • A. Brzeski
  • K. Grinholc
  • K. Nowodworski
  • A. Przybyłek

  - Rok 2019

  As modern convolutional neural networks become increasingly deeper, they also become slower and require high computational resources beyond the capabilities of many mobile and embedded platforms. To address this challenge, much of the recent research has focused on reducing the model size and computational complexity. In this paper, we propose a novel residual depth-separable convolution block, which is an improvement of the basic...

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• MobileNet family tailored for Raspberry Pi

  Publikacja

  • W. Glegoła
  • A. Karpus
  • A. Przybyłek

  - Procedia Computer Science - Rok 2021

  With the advances in systems-on-a-chip technologies, there is a growing demand to deploy intelligent vision systems on low-cost microcomputers. To address this challenge, much of the recent research has focused on reducing the model size and computational complexity of contemporary convolutional neural networks (CNNs). The state-of-the-art lightweight CNN is MobileNetV3. However, it was designed to achieve a good trade-off between...

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