GMS-YOLO11n: A Sheep Detection Model for Challenging Fixed-View Farm Conditions Integrating Spatially Gated Structural Enhancement and Multi-Scale Attention.
- DOI
- 10.3390/ani16152351
- Published
- 2026 Aug 1
- Container
- Animals : an open access journal from MDPI
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ani16152351,
title = {GMS-YOLO11n: A Sheep Detection Model for Challenging Fixed-View Farm Conditions Integrating Spatially Gated Structural Enhancement and Multi-Scale Attention.},
author = {Yu W and Xie R and Liu Y and Xue Z and Yang Z and Han W},
year = {2026},
journal = {Animals : an open access journal from MDPI},
doi = {10.3390/ani16152351},
url = {https://doi.org/10.3390/ani16152351}
}RIS
TY - JOUR TI - GMS-YOLO11n: A Sheep Detection Model for Challenging Fixed-View Farm Conditions Integrating Spatially Gated Structural Enhancement and Multi-Scale Attention. AU - Yu W AU - Xie R AU - Liu Y AU - Xue Z AU - Yang Z AU - Han W PY - 2026 JO - Animals : an open access journal from MDPI DO - 10.3390/ani16152351 UR - https://doi.org/10.3390/ani16152351 ER -
APA
W, Y., R, X., Y, L., Z, X., Z, Y., & W, H. (2026). GMS-YOLO11n: A Sheep Detection Model for Challenging Fixed-View Farm Conditions Integrating Spatially Gated Structural Enhancement and Multi-Scale Attention.. Animals : an open access journal from MDPI. https://doi.org/10.3390/ani16152351
Source records
- pubmed · retrieved 2026-09-27T11:00:27.412Z