Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering
Table 3: Evaluation results by our proposed method and compared methods on the COCO QA dataset.
['[BOLD] Method', 'All', 'Obj.', 'Num.', 'Color', 'Loc.', 'WUPS0.9', 'WUPS0.0']
Our final model Dual-MFA improves the state-of-the-art HieCoAtt In particular, our model achieves an improvement of 2.99% for the question type color. Similar to the results on the VQA dataset, our model significantly outperforms the state-of-the-art detection-based attention method QRU by 3.49%.