Robust Explanations for Visual Question Answering
Table 1: Ablation Analysis of Our Model. We achieve improvements in all the metrics.
['[BOLD] Model', '[BOLD] BLEU-1', '[BOLD] BLEU-2', '[BOLD] BLEU-3', '[BOLD] BLEU-4', '[BOLD] METEOR', '[BOLD] ROUGE-L', '[BOLD] CIDERr', '[BOLD] SPICE']
It is clear that CCM outperforms all the other variants. There is a trend of increasing scores as we move from baseline to CCM. We achieve an improvement of about 2% in BLEU-4, 1.7% in METEOR, 2% in ROUGE-L, 7% in CIDEr and 2.1% in SPICE.