Granular Multimodal Attention Networks for Visual Dialog
Table 3: Ablation analysis of our model with respect to various Granular features on VisDial-v1.0 in validation dataset.
['[BOLD] Model', '[BOLD] R@10', '[BOLD] MRR', '[BOLD] Mean']
We conduct an experiment on various granular features for image and question attention map. We start with K=8,32,64,128 granular per image. Further increasing K=128 it improves but not significant. So we select number of granular object is 64 in case of image and also in question. From the distribution we can observe that feature are are correlated and lies between 0.2 to 0.6.