基于鲁棒性图像检索的杂乱背景图像实时服饰分类框架

IF 2.4 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Cognition Technology & Work Pub Date : 2023-08-19 DOI:10.1007/s10111-023-00735-5
Mudasir Dilawar, Yasir Saleem, Ikram Syed, T. Ahmad
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A framework for real-time dress classification in cluttered background images for robust image retrieval
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来源期刊
Cognition Technology & Work
Cognition Technology & Work ENGINEERING, INDUSTRIAL-
CiteScore
6.90
自引率
7.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions. The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors. The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective. The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.
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