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2020
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2021
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2021
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2021
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2021
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2021
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2021
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D. Wang, J. Zhang, B. Du, G.-S. Xia, and D. Tao, “An Empirical Study of Remote Sensing Pretraining,”
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H. Li, Y. Li, G. Zhang, R. Liu, H. Huang, Q. Zhu, and C. Tao, “Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images,”
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W. Li, K. Chen, H. Chen, and Z. Shi, “Geographical knowledge-driven representation learning for remote sensing images,”
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X. Zhang, W. Yu, and M.-O. Pun, “Multilevel deformable attention-aggregated networks for change detection in bitemporal remote sensing imagery,”
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Z. Li, C. Yan, Y. Sun, and Q. Xin, “A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing images,”
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H. Chen, Y. Zao, L. Liu, S. Chen, and Z. Shi, “Semantic decoupled representation learning for remote sensing image change detection,”
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D. Hong, Z. Han, J. Yao, L. Gao, B. Zhang, A. Plaza, and J. Chanussot, “Spectralformer: Rethinking hyperspectral image classification with transformers,”
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J. Kang, S. Tariq, H. Oh, and S. S. Woo, “A survey of deep learning-based object detection methods and datasets for overhead imagery,”
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