Author:
Chen Weitao,Li Xianju,Qin Xuwen,Wang Lizhe
Publisher
Springer Nature Singapore
Reference78 articles.
1. Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017). Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2481–2495.
2. Cao, H., Wang, Y., & Chen, J. (2022). Swin-unet: Unet-like pure transformer for medical image segmentation. In Computer vision—ECCV 2022 workshops, Tel Aviv, Israel, October 23–27, Proceedings, Part III, 2023 (pp. 205–218). Springer Nature Switzerland.
3. Chen, L., Papandreou, G., & Kokkinos, I. (2017a). Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(4), 834–848.
4. Chen, L., Papandreou. G., & Kokkinos, I. (2014). Semantic image segmentation with deep convolutional nets and fully connected crfs. arXiv preprint arXiv:1412.7062.
5. Chen, L., Papandreou, G., & Schroff, F. (2017b). Rethinking atrous convolution for semantic image segmentation. arXiv Preprint arXiv:1706.05587.