Multimodal feature fusion by relational reasoning and attention for visual question answering

•The designed visual relational reasoning module can reason relationship between visual objects.•Bilinear visual attention together with bottom-up attention achieved discriminative features.•Jointly learning visual relation and attention for image regions contributed to multi-modal feature fusion.•The proposed visual question answering model achieved new state-of-the-art performance of single model on popular datasets.