Visual question answering model based on multi-modal knowledge autonomous learning
This work proposes a visual question answering model based on autonomous multi-modal knowledge learning, in which large-scale multi-modal knowledge is first accumulated by constructing pseudo data, and then dynamically filtered and iteratively updated through an autonomous updating strategy to reduce noise and improve...