Author:
De Bonis Michele,Amato Giuseppe,Falchi Fabrizio,Gennaro Claudio,Manghi Paolo
Publisher
Springer International Publishing
Reference12 articles.
1. Amato, G., Bolettieri, P., Monteiro de Lira, V., Muntean, C.I., Perego, R., Renso, C.: Social media image recognition for food trend analysis. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, pp. 1333–1336. ACM, New York (2017). https://doi.org/10.1145/3077136.3084142
2. Bossard, L., Guillaumin, M., Van Gool, L.: Food-101 – mining discriminative components with random forests, pp. 446–461. Springer International Publishing, Cham (2014). http://doi.org/10.1007/978-3-319-10599-4_29
3. Chen, J., Ngo, C.W.: Deep-based ingredient recognition for cooking recipe retrieval. In: Proceedings of the 2016 ACM on Multimedia Conference, MM 2016, pp. 32–41. ACM, New York (2016). https://doi.org/10.1145/2964284.2964315
4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016
5. Iandola, F.N., Moskewicz, M.W., Ashraf, K., Han, S., Dally, W.J., Keutzer, K.: Squeezenet: Alexnet-level accuracy with 50x fewer parameters and $$<$$ 1mb model size. CoRR abs/1602.07360 (2016). http://arxiv.org/abs/1602.07360
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