摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据-术语识别和人工智能已经呈现。根据NewsRx在中华人民共和国浙江的新闻报道记者，研究称，“重新识别人的方法目前遇到了特写方面的挑战。”学习，主要是由于难以表达局部特征之间的相关性和整合有效的全球和地方特征。为了解决这些问题，一种姿态引导的人重新识别方法提出了基于Tw的o级通道空间特征集成(TLCSFI)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Pa ttern Recognition and Artificial Intelligencehave been presented. According to news reporting from Zhejiang, People’s Republic of China, by NewsRxjournalists, research stated, “Person re-identification methods currently encounter challeng es in featurelearning, primarily due to difficulties in expressing the correlat ion between local features and integratingglobal and local features effectively . To address these issues, a pose-guided person re-identification methodwith Tw o-Level Channel-Spatial Feature Integration (TLCSFI) is proposed.”
NETL
NSTL