Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning

Wenbo Zheng, Lan Yan, Fei-Yue Wang

Abstract: Highlights•For the first time, a novel open-world knowledge representation learning method is proposed.•The proposed graph-based self-cross transformer can deeply capture multimodal knowledge.•Our open-world learning strategy and its novel transformer can support other reasoning tasks.