Deep Exemplar Networks for VQA and VQG
TABLE III: Analysis network parameter for DAN
['[BOLD] Models', 'VQA1.0 Open-Ended (test-dev)  [BOLD] All', 'VQA1.0 Open-Ended (test-dev)  [BOLD] Yes/No', 'VQA1.0 Open-Ended (test-dev)  [BOLD] Number', 'VQA1.0 Open-Ended (test-dev)  [BOLD] others', 'HAT val dataset  [BOLD] Rank-correlation']
In the proposed DAN network, we have a dependency on the number of k-nearest neighbors that should be considered. We, therefore, use 4 nearest neighbors in our experiments. We observe that increasing nearest neighbors beyond 4 nearest neighbors results in a reduction in accuracy. Further, even using a single nearest neighbor results in substantial improvement that is marginally improved as we move to 4 nearest neighbors.