Publisher
Springer Nature Singapore
Reference26 articles.
1. Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. CoRR abs/1405.3531 (2014). http://arxiv.org/abs/1405.3531
2. Cohen, T., Welling, M.: Group equivariant convolutional networks. In: International Conference on Machine Learning, pp. 2990–2999. PMLR (2016)
3. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
4. Hubel, D.H., Wiesel, T.N.: Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. J. Physiol. 160(1), 106–154 (1962)
5. Innamorati, C., Ritschel, T., Weyrich, T., Mitra, N.J.: Learning on the edge: investigating boundary filters in CNNs. Int. J. Comput. Vis., 1–10 (2019)
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