The performance of the ELGFA module in different detectors.

<p>The performance of the ELGFA module in different detectors.</p>

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Bibliographic Details
Main Author:	Guoguang Hua (22305400) (author)
Other Authors:	Fangfang Wu (526041) (author), Guangzhao Hao (22305403) (author), Chenbo Xia (22305406) (author), Li Li (14993) (author)
Published:	2025
Subjects:	Neuroscience Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified reduce computational complexity mean average precision map ), respectively integrate detailed information heavy computational burden floating point operations extensive experiments conducted experimental results demonstrate demonstrated remarkable performance constrained platforms due broadcast context module alternately updating high small object detection inadequate feature extraction 8 %, 94 detect small objects level features within global fusion transformer global fusion attention computer vision tasks small objects computer vision feature maps 4 %, three benchmarks thereby promoting pascal voc2007 grouping strategy first design face difficulties efficient local challenging task attractive level achieving 95 7 %.
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