A Standardized Small Target Recognition Method for Marketing Field Operation Images Based on Attention Mechanism

Author Names:
Miao Jin, Chen Xiwen, Zhang Yanli, Diao Yinglong, Gao Shuai, Lu Bing, Wang Xu
Author Affiliation:
China Electric Power Research Institute, Wuhan, Hubei, China
Author Email:
whu_phd_jinmiao@163.com
Publication Date:
February 26, 2026

Page numbers:

DOI Number:

https://doi.org/10.1177/14727978251374334

Abstract:

In order to intelligently and efficiently identify the standardization of marketing on-site operations, an attention mechanism based method for identifying standardized small targets in marketing on-site operation images is proposed. In this method, a standardized small target recognition method based on attention mechanism for marketing on-site operation images is proposed to address the characteristics of image occlusion, diverse targets, and complex backgrounds. In the target detection network, attention mechanism has been added, detection head module has been added, and loss function has been optimized to improve the accuracy of model recognition. The proposed method achieves a 5.56% improvement in AP and a 5.35% improvement in mAP. We have collected and produced a large number of proprietary industry datasets for marketing on-site scenarios. The experimental results show that this method has high accuracy and robustness in identifying the standardization of marketing on-site operation images. At the same time, this method can provide effective technical means for the management and supervision of marketing on-site operations, and has high practical and promotional value.
Keywords:
marketing on-site operations, attention mechanism, small target recognition, target detection network
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