Ad Understanding

Ad understanding research focuses on enabling computers to interpret the complex visual and textual information within advertisements, aiming to accurately assess their meaning and persuasive intent. Current efforts leverage large vision-language models, often adapting them through techniques like feature fusion and knowledge augmentation to better handle the diverse and sometimes misleading elements found in real-world ads. This field is crucial for improving advertising effectiveness and efficiency, as well as advancing the broader understanding of multimodal reasoning in artificial intelligence.