@inproceedings{66fb9fb0d0364ac8bc016e1d26f0ebaa,
title = "CSK-Detector: Commonsense in object detection",
abstract = "We propose an approach CSK-Detector for object detection and image categorization, well-suited for big data, by transferring commonsense knowledge from a knowledge base, augmented with premises and quantifiers. It is implemented for domestic robotics, especially with the motivation that next-generation and multipurpose domestic robots should be able to seamlessly discern environments for specific tasks without prior annotation of excessive images. CSK-Detector is evaluated on real data, yielding better results than deep learning without commonsense, while also providing an explainable approach. It broadly impacts human-robot collaboration and smart living.",
keywords = "Big data, commonsense knowledge, domestic robotics, explainable AI, image categorization, smart living",
author = "Irina Chernyavsky and Varde, {Aparna S.} and Simon Razniewski",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",
year = "2022",
doi = "10.1109/BigData55660.2022.10020915",
language = "English",
series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6609--6612",
editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and {Van den Poel}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",
booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
}