Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation

Autor:	Che, Chang, Lin, Qunwei, Zhao, Xinyu, Huang, Jiaxin, Yu, Liqiang
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	The process of transforming input images into corresponding textual explanations stands as a crucial and complex endeavor within the domains of computer vision and natural language processing. In this paper, we propose an innovative ensemble approach that harnesses the capabilities of Contrastive Language-Image Pretraining models.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2401.06167 Zobrazit plný text záznamu View this record from Arxiv