Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application

Author:

Mao DianHui,Sun Hao,Li XueBo,Yu XuDong,Wu JianWei,Zhang QingChuan

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference23 articles.

1. Methodologies of compressing a stable performance convolutional neural networks in image classification;Al-Hami;Neural Process. Lett.,2020

2. PaddlePaddle Authors. Paddle Lite, multi-platform high performance deep learning inference engine (2021). https://github.com/PaddlePaddle/Paddle-Lite.

3. Bochkovskiy, Alexey, Chien-Yao Wang, and Hong-Yuan Mark Liao. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020).

4. Chen Y, Zheng B, Zhang Z, et al. (2020). Deep learning on mobile and embedded devices: State-of-the-art, challenges, and future directions. ACM Computing Surveys (CSUR), 53.

5. (4) (2020), (pp. 1-37). doi: 10.1145/3398209.

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