1. Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder–decoder architecture for image segmentation (2015).
arXiv:1511.00561
2. Chen, L., Papandreou, V., Kokkinos, I., Murphy, K., Yuille, A.: Semantic image segmentation with deep convolutional nets and fully connected crfs (2014).
arXiv:1412.7062
3. Chen, LC., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs (2016).
arXiv:1606.00915
4. Chen, LC., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation (2017).
arXiv:1706.05587
5. Eskenazi, S., Gomez-Krämer, P., Ogier, J.M.: A comprehensive survey of mostly textual document segmentation algorithms since 2008. Pattern Recognit. 64, 1–14 (2017)