Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation
- Resource Type
- Working Paper
- Authors
- Che, Chang; Lin, Qunwei; Zhao, Xinyu; Huang, Jiaxin; Yu, Liqiang
- Source
- Subject
- Computer Science - Computer Vision and Pattern Recognition
Computer Science - Artificial Intelligence
- Language
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.