The Promise of Premise: Harnessing Question Premisesin Visual Question Answering
Table 7: Accuracy of different VQA models on the Compositional VQA test split using Top1k-A augmentation.
['VQA Model', 'Baseline', 'With Premises']
Keeping the Top1k-A data augmentation setting, we extend our experiments to additional VQA models. We find that while this data augmentation technique results in improvements for some models, it fails to consistently deliver significantly better performance overall.