On the role of shape features in metaphor generation for abstract images

Author:

Terai Asuka1,Yamamura Natsuki1,Chikazoe Junichi2,Yoshimoto Takaaki3,Sadato Norihiro4,Jimura Koji5

Affiliation:

1. Future University Hakodate,Dept. of Complex and Intelligent Systems,Hokkaido,Japan

2. Araya, Inc,Research and Development Dept,Tokyo,Japan

3. Ritsumeikan University,Res. Org. of Science and Technology,Kyoto,Japan

4. National Institute for Physiological Sciences,Dept. of System Neuroscience,Aichi,Japan

5. Gunma University,Dept. of Informatics,Gunma,Japan

Funder

National Institute for Physiological Sciences

Publisher

IEEE

Reference20 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan k;ArXiv Preprint,2014

2. ImageNet classification with deep convolutional neural networks

3. ImageNet Large Scale Visual Recognition Challenge

4. Deep Residual Learning for Image Recognition

5. Are we done with ImageNet?;beyer;ArXiv Preprint,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perceptual Features of Abstract Images for Metaphor Generation;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-01-20

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