Hyperbolic prototypical network for few shot remote sensing scene classification

Author:

Hamzaoui Manal,Chapel Laetitia,Pham Minh-Tan,Lefèvre Sébastien

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference20 articles.

1. Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities;Cheng;IEEE JSTARS,2020

2. Semi-supervised semantic segmentation in earth observation: The MiniFrance suite, dataset analysis and multi-task network study;Castillo-Navarro;Mach. Learn.,2022

3. Self-supervised learning for scene classification in remote sensing: Current state of the art and perspectives;Berg;Remote. Sens.,2022

4. F. Sung, Y. Yang, L. Zhang, T. Xiang, P.H.S. Torr, T.M. Hospedales, Learning to Compare: Relation Network for Few-Shot Learning, in: CVPR, 2018, pp. 1199–1208.

5. O. Vinyals, C. Blundell, T. Lillicrap, K. Kavukcuoglu, D. Wierstra, Matching Networks for One Shot Learning, in: NIPS, 2016, pp. 3630–3638.

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