@inproceedings{60e22590ec804227b0d5b77dd933d09f,
title = "Show, Prefer and Tell: Incorporating User Preferences into Image Captioning",
abstract = "Current image captioning models produce fluent captions, but they rely on a one-size-fits-all approach that does not take into account the preferences of individual end-users. We present a method to generate descriptions with an adjustable amount of content that can be set at inference-time, thus providing a step toward a more user-centered approach to image captioning.",
keywords = "assistive technology, deep learning, image captioning",
author = "Annika Lindh and Robert Ross and Kelleher, {John D.}",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author(s).; 38th Annual ACM Symposium on Applied Computing, SAC 2023 ; Conference date: 27-03-2023 Through 31-03-2023",
year = "2023",
month = mar,
day = "27",
doi = "10.1145/3555776.3577794",
language = "English",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery",
pages = "1139--1142",
booktitle = "Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023",
}