References
[1]. Agarwal, A., Mangal, A., & Vipul. (2020). Visual Relationship Detection using Scene Graphs: A Survey. arXiv preprint arXiv:2005.08045.
[2]. Ye, L. F. (2020). Research on food automatic recognition algorithm based on deep learning [Master’s thesis]. Zhejiang Normal University.
[3]. He, K., Zhang, X., Ren, S., & Sun, J. (2015). An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458.
[4]. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).
[5]. Xie, S., Girshick, R., Dollár, P., Tu, Z., & He, K. (2017). Aggregated residual transformations for deep neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1492-1500).
[6]. Zhang, H., Wu, C., Zhang, Z., Zhu, Y., Zhang, Z., Lin, H., Sun, Y., He, T., Muller, J., Manmatha, R., Liang X. & Vasconcelos N. (2020). ResNeSt: Split-Attention Networks. arXiv preprint arXiv:2004.08955.
[7]. Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, and Quoc V. Le. Revisiting ResNets: Improved Training and Scaling Strategies. arXiv preprint arXiv:2103.07579, 2021.
[8]. Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully Convolutional Networks for Semantic Segmentation. arXiv preprint arXiv:1411.4038, 2014.
[9]. Basler. (2021). AI-powered computer vision for industrial robots. Basler, 1(1), 1-5.
[10]. Liu, Y., & Zhang, Y. (2021). Detection of paper notes - based on YOLO deep convolutional neural network for robot apple picking positioning under complex background. Journal of Physics: Conference Series, 1946(1), 012008.
Cite this article
Xiong,Y. (2023). Food Image Recognition based on ResNet. Applied and Computational Engineering,8,605-611.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Agarwal, A., Mangal, A., & Vipul. (2020). Visual Relationship Detection using Scene Graphs: A Survey. arXiv preprint arXiv:2005.08045.
[2]. Ye, L. F. (2020). Research on food automatic recognition algorithm based on deep learning [Master’s thesis]. Zhejiang Normal University.
[3]. He, K., Zhang, X., Ren, S., & Sun, J. (2015). An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458.
[4]. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).
[5]. Xie, S., Girshick, R., Dollár, P., Tu, Z., & He, K. (2017). Aggregated residual transformations for deep neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1492-1500).
[6]. Zhang, H., Wu, C., Zhang, Z., Zhu, Y., Zhang, Z., Lin, H., Sun, Y., He, T., Muller, J., Manmatha, R., Liang X. & Vasconcelos N. (2020). ResNeSt: Split-Attention Networks. arXiv preprint arXiv:2004.08955.
[7]. Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, and Quoc V. Le. Revisiting ResNets: Improved Training and Scaling Strategies. arXiv preprint arXiv:2103.07579, 2021.
[8]. Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully Convolutional Networks for Semantic Segmentation. arXiv preprint arXiv:1411.4038, 2014.
[9]. Basler. (2021). AI-powered computer vision for industrial robots. Basler, 1(1), 1-5.
[10]. Liu, Y., & Zhang, Y. (2021). Detection of paper notes - based on YOLO deep convolutional neural network for robot apple picking positioning under complex background. Journal of Physics: Conference Series, 1946(1), 012008.