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    题名: Visual Story Ordering with a Bidirectional Writer
    作者: 黃瀚萱
    Huang, Hen-Hsen
    Lin, Wei-Rou
    Chen, Hsin-Hsi
    贡献者: 資科系
    关键词: Multimodal modeling;temporal information ordering;sentence ordering;visual-semantic representation
    日期: 2020-06
    上传时间: 2021-06-04 14:45:27 (UTC+8)
    摘要: This paper introduces visual story ordering, a challenging task in which images and text are ordered in a visual story jointly. We propose a neural network model based on the reader-processor-writer architecture with a self-attention mechanism. A novel bidirectional decoder is further proposed with bidirectional beam search. Experimental results show the effectiveness of the approach. The information gained from multimodal learning is presented and discussed. We also find that the proposed embedding narrows the distance between images and their corresponding story sentences, even though we do not align the two modalities explicitly. As it addresses a general issue in generative models, the proposed bidirectional inference mechanism applies to a variety of applications.
    關聯: Proceedings of the 2020 International Conference on Multimedia Retrieval (ICMR ’20), Association for Computing Machinery, pp.326-330
    数据类型: conference
    DOI 連結: https://doi.org/10.1145/3372278.3390735
    DOI: 10.1145/3372278.3390735
    显示于类别:[資訊科學系] 會議論文

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