1. Bousselham W, Thibault G, Pagano L, Machireddy A, Gray J, Chang YH, Song X (2021) Efficient self-ensemble framework for semantic segmentation. arXiv preprint arXiv:2111.13280
2. Carion N, Massa F, Synnaeve G, Usunier N, Kirillov A, Zagoruyko S (2020) End-to-end object detection with transformers. European conference on computer vision. Springer, Berlin, pp 213–229
3. Chatzistamatis S, Rigos A, Tsekouras GE (2020) Image recoloring of art paintings for the color blind guided by semantic segmentation. International conference on engineering applications of neural networks. Springer, Berlin, pp 261–273
4. Chen LC, Papandreou G, Schroff F, Adam H (2017) Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587
5. Chen LC, Zhu Y, Papandreou G, Schroff F, Adam H (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV)