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DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation (bibtex)
by A Toker, L Kondmann, M Weber, M Eisenberger, C Andres, J Hu, A Hoderlein, C Senaras, T Davis, D Cremers, G Marchisio, X Zhu and L Leal-Taixe
Reference:
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation (A Toker, L Kondmann, M Weber, M Eisenberger, C Andres, J Hu, A Hoderlein, C Senaras, T Davis, D Cremers, G Marchisio, X Zhu and L Leal-Taixe), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Bibtex Entry:
@inproceedings{Toker_2022_CVPR,
author = {A Toker and L Kondmann and M Weber and M Eisenberger and C Andres and J Hu and A Hoderlein and C Senaras and T Davis and D Cremers and G Marchisio and X Zhu and L Leal-Taixe},
title = {DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
titleurl = {toker-et-al-cvpr22.pdf},
year = {2022},
}
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