arXiv Open Access 2020

A lightweight target detection algorithm based on Mobilenet Convolution

Shengquan Wang
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Abstrak

Target detection algorithm based on deep learning needs high computer GPU configuration, even need to use high performance deep learning workstation, this not only makes the cost increase, also greatly limits the realizability of the ground, this paper introduces a kind of lightweight algorithm for target detection under the condition of the balance accuracy and computational efficiency, MobileNet as Backbone performs parameter The processing speed is 30fps on the RTX2060 card for images with the CNN separator layer. The processing speed is 30fps on the RTX2060 card for images with a resolution of 320*320.

Topik & Kata Kunci

Penulis (1)

S

Shengquan Wang

Format Sitasi

Wang, S. (2020). A lightweight target detection algorithm based on Mobilenet Convolution. https://arxiv.org/abs/2002.03729

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓