End-to-End Unsupervised Style and Resolution Transfer Adaptation Segmentation Model for Remote Sensing Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8462-6_31
Reference17 articles.
1. Liang, M., Wang, X.L.: Domain adaptation and super-resolution based bi-directional semantic segmentation method for remote sensing images. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3500–3503. IEEE (2022)
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3. Toldo, M., Michieli, U., Agresti, G.: Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. Image Vis. Comput. 95, 103889 (2020)
4. Zhao, Y., Gao, H., Guo, P.: ResiDualGAN: Resize-Residual DualGAN for cross-domain remote sensing images semantic segmentation. Remote Sens. 15(5), 1428 (2023)
5. Li, Y., Yuan, L., Vasconcelos, N.: Bidirectional learning for domain adaptation of semantic segmentation. In: International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6936–6945. IEEE (2019)
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