1. Automated sorting and grading of agricultural products based on image processing;Abbas,2019
2. A review of optical nondestructive visual and near-infrared methods for food quality and safety;Alander;Int. J. Spectrosc.,2013
3. Caron, M., Touvron, H., Misra, I., Jégou, H., Mairal, J., Bojanowski, P., Joulin, A., 2021. Emerging properties in Self-Supervised Vision Transformers. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 9650–9660. http://dx.doi.org/10.1109/iccv48922.2021.00951.
4. Chen, T., Guestrin, C., 2016. Xgboost: A Scalable Tree Boosting System. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 785–794. http://dx.doi.org/10.1145/2939672.2939785.
5. An empirical study of training self-supervised vision transformers;Chen,2021