纺织科学与工程学报2026，Vol.43Issue(1)：63-71,126,10.DOI:10.3969/j.issn.2096-5184.2026.01.010
基于改进YOLO11的现代汉服裙装形制识别算法
Modern Hanfu Skirt Style Recognition Algorithm Based on Improved YOLO11
摘要
Abstract
To address the high cost and low efficiency of manual annotation for garment styles in the Hanfu e-commerce industry,a modern Hanfu skirt style recognition algorithm based on an improved YOLO11 was pro-posed.Firstly,five major categories of Hanfu skirt styles were summarized and a corresponding data set was con-structed.Secondly,to address the limitations of the YOLO11 model in detecting Hanfu skirt styles,the backbone network was enhanced by incorporating DualConv and Focal Modulation modules.The SEAM module was embed-ded into the neck network and the ATFL was introduced to optimize the classification loss function.Finally,abla-tion experiment and model comparison experiments were conducted to evaluate the improvements.Experimental results demonstrated that compared with YOLO11n,the improved model achieved increases of 2.63%in preci-sion,2.45%in recall,0.94%in mean Average Precision(mAP)at an Intersection over Union(IoU)threshold of 0.5,and 1.21%in mAP at IoU thresholds from 0.5 to 0.95,achieving a balance between model lightweight-ing and detection accuracy and offering a reference for Hanfu style classification and recognition.关键词
汉服形制检测/YOLO11/目标检测/汉服裙装/ATFL损失函数Key words
detection of Hanfu style/YOLO11/object detection/Hanfu skirts/ATFL loss function分类
轻工纺织引用本文复制引用
李旰鹏..基于改进YOLO11的现代汉服裙装形制识别算法[J].纺织科学与工程学报,2026,43(1):63-71,126,10.基金项目
北京服装学院服务国家特殊需求"中国传统服饰文化抢救传承与设计创新"博士人才培养项目(NHFZ20250288) （NHFZ20250288）
