Feb. 9, 2024, 5:46 a.m. | Youngsik Yun Jihie Kim

cs.CV updates on arXiv.org arxiv.org

Image Captioning generates descriptive sentences from images using Vision-Language Pre-trained models (VLPs) such as BLIP, which has improved greatly. However, current methods lack the generation of detailed descriptive captions for the cultural elements depicted in the images, such as the traditional clothing worn by people from Asian cultural groups. In this paper, we propose a new framework, \textbf{Culturally-aware Image Captioning (CIC)}, that generates captions and describes cultural elements extracted from cultural visual elements in images representing cultures. Inspired by methods …

asian captioning captions clothing cs.ai cs.cl cs.cv current framework image images language paper people pre-trained models vision

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