1. Amato, G., Falchi, F., Bolettieri, P.: Recognizing landmarks using automated classification techniques: Evaluation of various visual features. In: 2010 Second International Conferences on Advances in Multimedia, June, pp. 78–83 (2010). https://doi.org/10.1109/MMEDIA.2010.20
2. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110(3), 346–359 (2008). https://doi.org/10.1016/j.cviu.2007.09.014
3. Blog, G.A.: Google-landmarks: A new dataset and challenge for landmark recognition. https://ai.googleblog.com/2018/03/google-landmarks-new-dataset-and.html. Accessed 28 Sept 2019
4. Chen, Z., Jacobson, A., Sünderhauf, N., Upcroft, B., Liu, L., Shen, C., Reid, I.D., Milford, M.: Deep learning features at scale for visual place recognition (2017). CoRR abs/1701.05105. http://arxiv.org/abs/1701.05105
5. Cubuk, E.D., Zoph, B., Mané, D., Vasudevan, V., Le, Q.V.: Autoaugment: Learning augmentation policies from data (2018). CoRR abs/1805.09501. http://arxiv.org/abs/1805.09501