Dense Caption

Dense captioning aims to generate detailed, localized descriptions for objects within images or videos, going beyond simple image-level captions. Current research focuses on leveraging large vision-language models (VLMs) and transformers, often employing a "detect-then-describe" pipeline or end-to-end approaches, to achieve accurate and comprehensive scene understanding. This task is driving advancements in multimodal learning and has implications for applications such as autonomous driving, robotics, and improved accessibility for visually impaired individuals through richer scene descriptions. The development of large, high-quality datasets with dense annotations is also a key area of ongoing effort.