StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams
arXiv:2201.00975v1
AI Analysis
This work addresses the need for better evaluation tools in image captioning, particularly for stylized captions, but it appears incremental as it builds upon existing metrics like CIDEr.
The paper tackled the problem of evaluating machine-generated captions against stylized ground truth captions by building two automatic evaluation metrics, OnlyStyle and StyleCIDEr, to assess the association between them.
In this paper, we build two automatic evaluation metrics for evaluating the association between a machine-generated caption and a ground truth stylized caption: OnlyStyle and StyleCIDEr.