Proceedings

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract)

Download BibTeX Cite

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 4188-4191.

Abstract

In [Hodosh et al., 2013], we established a ranking based framework for sentence-based image description and retrieval. We introduce a new dataset of images paired with multiple descriptive captions that was specifically designed for these tasks. We also present strong KCCA-based baseline systems for description and search, and perform an in-depth study of evaluation metrics for these two tasks. Our results indicate that automatic evaluation metrics for our ranking-based tasks are more accurate and robust than those proposed for generation-based image description.

Micah Hodosh, Peter Young, and Julia Hockenmaier. 2015. Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract). In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4188–4191. https://ijcai.org/proceedings/2015/593
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards