City Foundation Models for Learning General Purpose Representations from OpenStreetMap.
Pasquale Balsebre|Weiming Huang|Gao Cong|Yi Li
| Anthology ID: | DBLP:conf/cikm/BalsebreHCL24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 87-97 |
| URL: | https://doi.org/10.1145/3627673.3679662 |
| DOI: | https://doi.org/10.1145/3627673.3679662 |
| DBLP: | conf/cikm/BalsebreHCL24 |
| BibTeX: |
@inproceedings{balsebre-2024-city,
author = {Pasquale Balsebre and
Weiming Huang and
Gao Cong and
Yi Li},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{City Foundation Models for Learning General Purpose Representations from OpenStreetMap}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {87--97},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679662},
doi = {https://doi.org/10.1145/3627673.3679662}
}