AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation.

Baek NR, Lee Y, Noh DH, Lee HM, Cho SW

DOI: 10.3390/s25051422
Published: 2025 Feb 26
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25051422,
  title = {AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation.},
  author = {Baek NR and Lee Y and Noh DH and Lee HM and Cho SW},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25051422},
  url = {https://doi.org/10.3390/s25051422}
}

RIS

TY  - JOUR
TI  - AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation.
AU  - Baek NR
AU  - Lee Y
AU  - Noh DH
AU  - Lee HM
AU  - Cho SW
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25051422
UR  - https://doi.org/10.3390/s25051422
ER  -

APA

NR, B., Y, L., DH, N., HM, L., & SW, C. (2025). AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25051422

Source records

pubmed · retrieved 2026-09-26T00:49:50.786Z