Review of the Application of Deep Learning in Image Memorability Prediction

Hao Zhang, Jie Liu, Dou-Dou Wang
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引用次数: 3

Abstract

With the rapid development of artificial intelligence and image processing technology, image memorability prediction has been studied more and more widely. Image memorability is applied to many fields such as education, advertising and medicine, which has important research value. Through an inductive analysis of related research, the concept of image memorability is introduced and the factors affecting image memorability are summarized. According to the different structures, the image memorability prediction methods are divided into 5 categories, and the performance of each method is introduced and compared. Finally, the method of increasing image memorability is briefly introduced, and the future research trend of image memorability is prospected.
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深度学习在图像记忆预测中的应用综述
随着人工智能和图像处理技术的飞速发展,图像记忆预测得到了越来越广泛的研究。图像记忆应用于教育、广告、医学等诸多领域,具有重要的研究价值。通过对相关研究的归纳分析,介绍了图像可记忆性的概念,总结了影响图像可记忆性的因素。根据结构的不同,将图像记忆预测方法分为5类,并对每种方法的性能进行了介绍和比较。最后简要介绍了提高图像可记忆性的方法,并对图像可记忆性的未来研究趋势进行了展望。
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