期刊论文

Zhang, JL

英文

Computers and Electronics in Agriculture

0168-1699

2023

211

108006

10.1016/j.compag.2023.108006

The project was supported by Innovation Project of Guangxi Graduate Education, China ( YCBZ2021019 ) and the National Natural Science Foundation of China (grant number 61973047 ).

本校为通讯机构

Cattle detection is an important task in precision livestock farming, but it remains challenging due to the varying appearance and poses of cattle in different scenarios. In this paper, we propose a novel approach for fast cattle detection using deformable convolution and coordinate attention within YOLOv8, a SOTA object detection model. Our proposed method enhances the YOLOv8 architecture by introducing deformable convolution to capture more fine-grained spatial information and coordinate attention to emphasize important features in the detect...