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Peer-reviewedCC BYSensors (Basel, Switzerland)

An Efficient Transformer Detector for Traffic Scenes via Lightweight Backbone and Multi-Scale Attention

  • Jinfeng Zheng1
  • Yuan Zhang1
  • Yanbo Hui1
  • Xiaoxuan He2
  • Xiaohui Zhang2
  • Haiyang Ding3
  • Qiao Wang2
  • Bo Chen2
  • Zongpu Nan2
  1. 1School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China; (J.Z.); (Y.H.)
  2. 2College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China; (X.H.); (X.Z.); (Q.W.); (B.C.); (Z.N.)
  3. 3Weihua Group Co., Ltd., Changyuan 450001, China;
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Cite

BibTeXRIS
BibTeX
@article{zheng2026efficient,
  title = {{An Efficient Transformer Detector for Traffic Scenes via Lightweight Backbone and Multi-Scale Attention}},
  author = {Jinfeng Zheng and Yuan Zhang and Yanbo Hui and Xiaoxuan He and Xiaohui Zhang and Haiyang Ding and Qiao Wang and Bo Chen and Zongpu Nan},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667654},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - An Efficient Transformer Detector for Traffic Scenes via Lightweight Backbone and Multi-Scale Attention
AU  - Jinfeng Zheng
AU  - Yuan Zhang
AU  - Yanbo Hui
AU  - Xiaoxuan He
AU  - Xiaohui Zhang
AU  - Haiyang Ding
AU  - Qiao Wang
AU  - Bo Chen
AU  - Zongpu Nan
PY  - 2026
DA  - 2026/09/24
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667654
SN  - 1424-8220
ER  -