High-order diversity feature learning for pedestrian attribute recognition.
- DOI
- 10.1016/j.neunet.2025.107463
- Published
- 2025 Aug
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.107463,
title = {High-order diversity feature learning for pedestrian attribute recognition.},
author = {Wu J and Huang Y and Gao M and Niu Y and Chen Y and Wu Q},
year = {2025},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.107463},
url = {https://doi.org/10.1016/j.neunet.2025.107463}
}RIS
TY - JOUR TI - High-order diversity feature learning for pedestrian attribute recognition. AU - Wu J AU - Huang Y AU - Gao M AU - Niu Y AU - Chen Y AU - Wu Q PY - 2025 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.107463 UR - https://doi.org/10.1016/j.neunet.2025.107463 ER -
APA
J, W., Y, H., M, G., Y, N., Y, C., & Q, W. (2025). High-order diversity feature learning for pedestrian attribute recognition.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.107463
Source records
- pubmed · retrieved 2026-09-26T03:53:42.077Z
- europe-pmc · retrieved 2026-09-26T03:53:42.090Z