NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Li Z, Liu J, Zhuo Z, Chen L, Zeng X, Li D, Zhou Y, Huang C

DOI: 10.3389/fnbot.2026.1764856
Published: 2026
Container: Frontiers in neurorobotics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnbot.2026.1764856,
  title = {NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.},
  author = {Li Z and Liu J and Zhuo Z and Chen L and Zeng X and Li D and Zhou Y and Huang C},
  year = {2026},
  journal = {Frontiers in neurorobotics},
  doi = {10.3389/fnbot.2026.1764856},
  url = {https://doi.org/10.3389/fnbot.2026.1764856}
}

RIS

TY  - JOUR
TI  - NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.
AU  - Li Z
AU  - Liu J
AU  - Zhuo Z
AU  - Chen L
AU  - Zeng X
AU  - Li D
AU  - Zhou Y
AU  - Huang C
PY  - 2026
JO  - Frontiers in neurorobotics
DO  - 10.3389/fnbot.2026.1764856
UR  - https://doi.org/10.3389/fnbot.2026.1764856
ER  -

APA

Z, L., J, L., Z, Z., L, C., X, Z., D, L., Y, Z., & C, H. (2026). NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.. Frontiers in neurorobotics. https://doi.org/10.3389/fnbot.2026.1764856

Source records

pubmed · retrieved 2026-09-27T01:17:36.010Z