Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling

Sheng Zhang, Ke Li, Zhonghua Luo

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DOI: 10.3390/biomimetics11050333
Published: 2026-05-09
Container: Biomimetics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/biomimetics11050333,
  title = {Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling},
  author = {Sheng Zhang and Ke Li and Zhonghua Luo},
  year = {2026},
  journal = {Biomimetics},
  doi = {10.3390/biomimetics11050333},
  url = {https://doi.org/10.3390/biomimetics11050333}
}

RIS

TY  - JOUR
TI  - Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling
AU  - Sheng Zhang
AU  - Ke Li
AU  - Zhonghua Luo
PY  - 2026
JO  - Biomimetics
DO  - 10.3390/biomimetics11050333
UR  - https://doi.org/10.3390/biomimetics11050333
ER  -

APA

Zhang, S., Li, K., & Luo, Z. (2026). Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling. Biomimetics. https://doi.org/10.3390/biomimetics11050333

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crossref · retrieved 2026-09-26T22:34:28.065Z