Publisher
Springer Nature Switzerland
Reference50 articles.
1. Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), pp. 2481–2495 (2017)
2. Boudiaf, B., Kervadec, H., Masud, Z.I., Piantanida, P., Ayed, I.B., Dolz, J.: Few-shot segmentation without meta-learning: A good transductive inference is all you need? In: CVPR, pp. 13979–13988 (2021)
3. Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans. Pattern Analysis Mach. Intell. (PAMI) 40(4), 834–848 (2018)
4. Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017)
5. Lecture Notes in Computer Science;L-C Chen,2018
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献