1. Badrinarayanan V, Kendall A, Cipolla R (2015) Segnet: A deep convolutional encoder-decoder architecture for image segmentation. arXiv: 151100561
2. Baehrens D, Schroeter T, Harmeling S, Kawanabe M, Hansen K, MÞller KR (2010) How to explain individual classification decisions. J Mach Learn Res 11(Jun):1803–1831
3. Chen LC, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2016a) Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. arXiv: 160600915
4. Chen LC, Yang Y, Wang J, Xu W, Yuille AL (2016b) Attention to scale: Scale-aware semantic image segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3640–3649
5. Chen LC, Papandreou G, Schroff F, Adam H (2017) Rethinking atrous convolution for semantic image segmentation. arXiv: 170605587