Caption Generation

Image caption generation aims to automatically create textual descriptions of images, bridging the gap between visual and linguistic information. Current research emphasizes improving caption quality and diversity through advanced transformer-based architectures, often incorporating contextual information from the surrounding scene or external knowledge bases, and exploring techniques like reinforcement learning with human feedback to align generated captions with human preferences. This field is significant for its applications in various domains, including image retrieval, accessibility for visually impaired individuals, and automated content creation for social media and scientific publications.