A Unified Multidimensional Benchmark and Multi-Dataset Evaluation of YOLO-Based Models for Remote Sensing Building Instance Segmentation.
- DOI
- 10.3390/s26123686
- Published
- 2026 Jun 9
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26123686,
title = {A Unified Multidimensional Benchmark and Multi-Dataset Evaluation of YOLO-Based Models for Remote Sensing Building Instance Segmentation.},
author = {Chen Z and Xu J and Guan D and Zheng X and Li Y},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26123686},
url = {https://doi.org/10.3390/s26123686}
}RIS
TY - JOUR TI - A Unified Multidimensional Benchmark and Multi-Dataset Evaluation of YOLO-Based Models for Remote Sensing Building Instance Segmentation. AU - Chen Z AU - Xu J AU - Guan D AU - Zheng X AU - Li Y PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26123686 UR - https://doi.org/10.3390/s26123686 ER -
APA
Z, C., J, X., D, G., X, Z., & Y, L. (2026). A Unified Multidimensional Benchmark and Multi-Dataset Evaluation of YOLO-Based Models for Remote Sensing Building Instance Segmentation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123686
Source records
- pubmed · retrieved 2026-11-10T10:49:16.815Z