Answering Questions about Data Visualizations using Efficient Bimodal Fusion
Table 6: PReFIL ablation studies on a 500K DVQA train subset.
['Ablation Model', 'Test Familiar', 'Test Novel']
’s components impact its performance. Removing bimodal embeddings causes the largest accuracy drop (over 12% absolute). The next largest is caused by removing low and high-level visual features (1.3% and 6% absolute).