Speech-Based Visual Question Answering
Table 3. Accuracy on test-dev with different levels of noise added. (Higher is better)
['Baseline', '[EMPTY]', 'All 53.74', 'Y/N 78.94', 'Number 35.24', 'Other 36.42']
The goal of the main experiments were to observe how each model performs with and without different levels of noise added. The standard format of reporting results from VQA1.0 is followed: All is the overall accuracy, Y/N is for questions with yes or no as answers, Number is for questions that are answered by counting, and Other covers the rest.