1. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, in: IEEE Conf. Comput. Vis. Pattern Recog., 2015.
2. K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, in: Int. Conf. Learn. Represent., 2015.
3. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: IEEE Conf. Comput. Vis. Pattern Recog., 2016.
4. A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, in: Int. Conf. Learn. Represent., 2020.
5. R. Girshick, Fast r-cnn, in: Int. Conf. Comput. Vis., 2015.