Analysis of Annotation Quality of Human Activities Using Knowledge Graphs
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36001-5_62
Reference6 articles.
1. Brugman, H., Russel, A., Nijmegen, X.: Annotating multi-media/multi-modal resources with ELAN. In: LREC, pp. 2065–2068 (2004)
2. Egami, S., Ugai, T., Oono, M., Kitamura, K., Fukuda, K.: Synthesizing event-centric knowledge graphs of daily activities using virtual space. IEEE Access 11, 23857–23873 (2023). https://doi.org/10.1109/ACCESS.2023.3253807
3. Li, L., Chen, L., Huang, Y., Zhang, Z., Zhang, S., Xiao, J.: The devil is in the labels: Noisy label correction for robust scene graph generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18869–18878 (June 2022)
4. Nishimura, S., Egami, S., Ugai, T., Oono, M., Kitamura, K., Fukuda, K.: Ontologies of action and object in home environment towards injury prevention. In: Proceedings of the 10th International Joint Conference on Knowledge Graphs, pp. 126–130. IJCKG 2021, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3502223.3502239
5. Nishimura, S., Fukuda, K.: Towards representation of daily living activities by reusing ICF categories. In: Human Aspects of IT for the Aged Population. Supporting Everyday Life Activities: 7th International Conference, ITAP 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, 24–29 July 2021, Proceedings, Part II. pp. 438–450. Springer-Verlag Heidelberg (2021). https://doi.org/10.1007/978-3-030-78111-8_30
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