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Referring remote sensing image segmentation (RRSIS) enables the precise delineation of regions within remote sensing imagery through natural language descriptions, serving critical applications in disaster response, urban development, and environmental monitoring.
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S. Yang, M. Xia, G. Li, H.-Y. Zhou, Y. Yu, Bottom-up shift and reasoning for referring image segmentation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 11266–11275
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H. Ding, C. Liu, S. Wang, X. Jiang, Vision-language transformer and query generation for referring segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 16321–16330
2021
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J. Tang, G. Zheng, C. Shi, S. Yang, Contrastive grouping with transformer for referring image segmentation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 23570–23580
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H. Ding, S. Zhang, Q. Wu, S. Yu, J. Hu, L. Cao, R. Ji, Bilateral knowledge interaction network for referring image segmentation, IEEE Transactions on Multimedia (2023)
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Z. Xu, Z. Chen, Y. Zhang, Y. Song, X. Wan, G. Li, Bridging vision and language encoders: Parameter-efficient tuning for referring image segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, pp. 17503–17512
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2023
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