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Large-scale ''foundation models'' have gained traction as a way to leverage the vast amounts of unlabeled remote sensing data collected every day.
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O. Manas, A. Lacoste, X. Giró-i Nieto, D. Vazquez, and P. Rodriguez, “Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data,” in Proceedings of the IEEE/CVF International Conference on Computer Vision
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2021
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2021
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2021
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S. Vincenzi, A. Porrello, P. Buzzega, M. Cipriano, P. Fronte, R. Cuccu, C. Ippoliti, A. Conte, and S. Calderara, “The color out of space: learning self-supervised representations for earth observation imagery,” in 2020 25th International Conference on Pattern Recognition (ICPR)
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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B. Iskender, Z. Xu, S. Kornblith, E.-H. Chu, and M. Khademi, “Improving dense contrastive learning with dense negative pairs,” 2023
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2021
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2021
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G. Mai, C. Cundy, K. Choi, Y. Hu, N. Lao, and S. Ermon, “Towards a foundation model for geospatial artificial intelligence (vision paper),” in Proceedings of the 30th International Conference on Advances in Geographic Information Systems
2022
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C. J. Reed, X. Yue, A. Nrusimha, S. Ebrahimi, V. Vijaykumar, R. Mao, B. Li, S. Zhang, D. Guillory, S. Metzger, K. Keutzer, and T. Darrell, “Self-supervised pretraining improves self-supervised pretraining,” in Proc. of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2022
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2022
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2022
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2022
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2022
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2023
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2023
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2023
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M. Singha, A. Jha, B. Solanki, S. Bose, and B. Banerjee, “Applenet: Visual attention parameterized prompt learning for few-shot remote sensing image generalization using clip,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
2023
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Y. Hu, J. Yuan, C. Wen, X. Lu, and X. Li, “Rsgpt: A remote sensing vision language model and benchmark,” 2023
2023
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2023
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A. Garioud, N. Gonthier, L. Landrieu, A. D. Wit, M. Valette, M. Poupée, S. Giordano, and B. Wattrelos, “FLAIR : a country-scale land cover semantic segmentation dataset from multi-source optical imagery,” in Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track
2023
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2023
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W.-C. Chen and W.-T. Chu, “Sssd: Self-supervised self distillation,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2023
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2023
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V. Marsocci and S. Scardapane, “Continual barlow twins: continual self-supervised learning for remote sensing semantic segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2023
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H. Moieez, V. Marsocci, and S. Scardapane, “Continual self-supervised learning in earth observation with embedding regularization,” in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
2023
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V. Marsocci, N. Gonthier, A. Garioud, S. Scardapane, and C. Mallet, “Geomultitasknet: Remote sensing unsupervised domain adaptation using geographical coordinates,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
2023
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X. Wanyan, S. Seneviratne, S. Shen, and M. Kirley, “Dino-mc: Self-supervised contrastive learning for remote sensing imagery with multi-sized local crops,” 2023
2023
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Y. Wang, N. A. A. Braham, Z. Xiong, C. Liu, C. M. Albrecht, and X. X. Zhu, “Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],” IEEE Geoscience and Remote Sensing Magazine
2023
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I. Corley, C. Robinson, R. Dodhia, J. M. L. Ferres, and P. Najafirad, “Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters,” 2023
2023
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L. Beyer, P. Izmailov, A. Kolesnikov, M. Caron, S. Kornblith, X. Zhai, M. Minderer, M. Tschannen, I. Alabdulmohsin, and F. Pavetic, “Flexivit: One model for all patch sizes,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2023
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A. Fuller, K. Millard, and J. Green, “Croma: Remote sensing representations with contrastive radar-optical masked autoencoders,” Advances in Neural Information Processing Systems
2024
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B. Han, S. Zhang, X. Shi, and M. Reichstein, “Bridging remote sensors with multisensor geospatial foundation models,” 2024
2024
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