用于视频监控系统中人员再识别的卷积神经网络在训练过程中的数据增强和微调

IF 1 Q4 OPTICS

Optical Memory and Neural Networks Pub Date : 2023-12-01 DOI:10.3103/s1060992x23040124

S. Ye, R. Bohush, H. Chen, S. Ihnatsyeva, S. Ablameyko

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Data Augmentation and Fine Tuning of Convolutional Neural Network during Training for Person Re-Identification in Video Surveillance Systems

查看原文本刊更多论文

Data Augmentation and Fine Tuning of Convolutional Neural Network during Training for Person Re-Identification in Video Surveillance Systems

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Optical Memory and Neural Networks OPTICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.