Multi-scale attentional feature fusion-based traffic sign detection using image dehazing process of SPP-CAE and improved optimization of YOLOv9 model.
- DOI
- 10.3389/frai.2026.1903277
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1903277,
title = {Multi-scale attentional feature fusion-based traffic sign detection using image dehazing process of SPP-CAE and improved optimization of YOLOv9 model.},
author = {V T and Cm V},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1903277},
url = {https://doi.org/10.3389/frai.2026.1903277}
}RIS
TY - JOUR TI - Multi-scale attentional feature fusion-based traffic sign detection using image dehazing process of SPP-CAE and improved optimization of YOLOv9 model. AU - V T AU - Cm V PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1903277 UR - https://doi.org/10.3389/frai.2026.1903277 ER -
APA
T, V., & V, C. (2026). Multi-scale attentional feature fusion-based traffic sign detection using image dehazing process of SPP-CAE and improved optimization of YOLOv9 model.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1903277
Source records
- pubmed · retrieved 2026-09-26T02:38:53.824Z