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arXiv.orghttps://arxiv.org/pdf/2004.08070v1[PDF]Transform and Tell: Entity-Aware News Image …2023年1月23日 · having the option to not attend to any image region [30] using a bottom-up approach to propose a region to attend to [1], and attending specifically to object regions [51] and visual concepts [55,25,51] identified in the image. News image captioning includes the article text as input and focuses on the types of images used in news articles.

IEEE Xplorehttps://ieeexplore.ieee.org/document/10388166The Affective Nature of AI-Generated News Images: Impact …This study explores the affective responses and newsworthiness perceptions of generative AI for visual journalism. While generative AI offers advantages for newsrooms in terms of producing unique images and cutting costs, the potential misuse of AI-generated news images is a cause for concern. For our study, we designed a 3-part news image codebook for affect-labeling news …

ACL Anthologyhttps://aclanthology.org/2021.emnlp-main.419.pdf[PDF]Journalistic Guidelines Aware News Image Captioning2021年11月3日 · thus generic descriptions of the images. The news image captioning problem (Feng and Lapata,2013;Ramisa et al.,2018;Biten et al., 2019;Tran et al.,2020) can be seen as a multi-modal extension of the image captioning task with additional context provided in the form of a news article. Specifically, given image-article pairs as

IEEE Xplorehttps://ieeexplore.ieee.org/document/10424412Image-Relevant Entities Knowledge-Aware News Image …News image captioning (NIC) generates entity-rich captions for news images via news article context. However, it inherits various challenges, like the presence of abstract semantic information based on named entities deteriorating the relationship between news images and the article. Due to the ambiguous relationship among image articles, the existing works struggle to exploit …