电子科技大学学报2024，Vol.53Issue(5)：732-748,17.DOI:10.12178/1001-0548.2023260
行人搜索算法综述
Person Search Algorithm:A Survey
摘要
Abstract
In recent years,with the rapid development of deep learning technology,the research of person search algorithms has attracted a lot of scholars'interest.Person search is to find specific target person in images based on person detection and person re-identification tasks.In this paper,we review the recent research progress on person search task in detail.The existing methods are analyzed and summarized in terms of model network structures and loss functions.According to the two different technical routes of convolutional neural network and Transformer,the main research work of their respective representative methods is focused on.According to the traditional loss function,OIM loss function,and mixed loss function,the training loss functions used in person search are summarized.In addition,the public data sets commonly used in the field of person search are summarized,and the performances of the main algorithms on the corresponding data sets are compared and analyzed.Finally,we summarize the future research directions of person search task.关键词
行人搜索/卷积神经网络/Transformer/损失函数/深度学习Key words
person search/convolutional neural networks/transformer/loss function/deep learning分类
信息技术与安全科学引用本文复制引用
李位星,张瑜,贾普阳,高琪,潘峰..行人搜索算法综述[J].电子科技大学学报,2024,53(5):732-748,17.基金项目
国家自然科学基金面上项目(61973036) （61973036）
