Fetching the paper…
Reading the bibliography…
Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
Y. Yang and S. Newsam, “Bag-of-visual-words and spatial extensions for land-use classification,” in Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems , 2010, pp. 270–279
2010
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
Earlier work this paper cites.
G.-S. Xia, J. Hu, F. Hu, B. Shi, X. Bai, Y. Zhong, L. Zhang, and X. Lu, “Aid: A benchmark data set for performance evaluation of aerial scene classification,” IEEE Transactions on Geoscience and Remote Sensing , vol. 55, no. 7, pp. 3965–3981, 2017
2017
Earlier work this paper cites.
G. Cheng, J. Han, and X. Lu, “Remote sensing image scene classification: Benchmark and state of the art,” Proceedings of the IEEE , vol. 105, no. 10, pp. 1865–1883, 2017
2017
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems , vol. 30, 2017
2017
Earlier work this paper cites.
Y. Li, H. Zhang, X. Xue, Y. Jiang, and Q. Shen, “Deep learning for remote sensing image classification: A survey,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery , vol. 8, no. 6, p. e1264, 2018
2018
Earlier work this paper cites.
2020
Cited alongside, same era.
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, “Swin transformer: Hierarchical vision transformer using shifted windows,” in Proceedings of the IEEE/CVF international conference on computer vision , 2021, pp. 10 012–10 022
2021
Cited alongside, same era.
2021
Cited alongside, same era.
H. Touvron, M. Cord, M. Douze, F. Massa, A. Sablayrolles, and H. Jégou, “Training data-efficient image transformers & distillation through attention,” in International conference on machine learning . PMLR, 2021, pp. 10 347–10 357
2021
K. Xu, P. Deng, and H. Huang, “Vision transformer: An excellent teacher for guiding small networks in remote sensing image scene classification,” IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1–15, 2022
2022
Later among the works it cites.
J. Chen, K. Chen, H. Chen, W. Li, Z. Zou, and Z. Shi, “Contrastive learning for fine-grained ship classification in remote sensing images,” IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1–16, 2022
2022
Later among the works it cites.
2023
Later among the works it cites.
2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
K. Chen, W. Li, J. Chen, Z. Zou, and Z. Shi, “Resolution-agnostic remote sensing scene classification with implicit neural representations,” IEEE Geoscience and Remote Sensing Letters , vol. 20, pp. 1–5, 2022
2022
Cited alongside, same era.
2024
Closest in time.