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U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping
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Cites
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333
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CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS
Lebedev, M. A., Vizilter, Y. V., Vygolov, O. V., Knyaz, V. A., & Rubis, A. Y. (2018) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi:10.5194/isprs-archives-xlii-2-565-2018 · Cited by 567
Cai, S., Tian, Y., Lui, H., Zeng, H., Wu, Y., & Chen, G. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-19-1090 · Cited by 293
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
Zhang, P., Zhong, Y., & Li, X. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2019.00011 · Cited by 266
Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning
Zhu, W., Biondi, E., Li, J., Yin, J., Ross, Z. E., & Zhan, Z. (2023) · Nature Communications · doi:10.1038/s41467-023-43355-3 · Cited by 130
A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues
Berger, P., & Stein, G. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2949 · Cited by 50
Metadata
- Authors
- Kostejn, V., Essus, Y., Abrahamson, J. N., & Vatsavai, R. R.
- Venue
- Leibniz international proceedings in informatics
- Published
- 2025-01-01
- ISSN
- 1868-8969 (ISSN-L)
- OpenAlex
- W4300424419
- Cited by
- 977
- References
- 1
- FWCI
- 1317.50
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- CoChat. (2026). Citation check: U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping. https://app.cochat.ai/papers/10.4230/lipics.giscience.2025.18
- The paper
- Kostejn, V., Essus, Y., Abrahamson, J. N., & Vatsavai, R. R. (2025). U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping. Leibniz international proceedings in informatics. https://doi.org/10.4230/lipics.giscience.2025.18
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
