Scalable Deep Learning Framework for Public Transit Sign Detection
Detecting public transit signs in urban environments is a complex and challenging task due to the significant variability of these signs across different regions and cities. Unlike standardized traffic signs, transit signs often vary considerably, requiring adaptable and robust solutions for effecti...
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| Main Authors: | N. Savioli, E. Turkoz, T. Neumann, L. Liu, Y. Wang, Y. Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/779/2025/isprs-annals-X-G-2025-779-2025.pdf |
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