DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
Table 2: Ablation study of each unit on VisDial v1.0 validation set.
['Base Model', 'Model', 'MRR', 'R@1', 'R@5', 'R@10', 'Mean', 'NDCG']
We consider the following ablation models to illustrate the effectiveness of each unit of our model: 1) 2L-DAM : this is our full model that adaptively selects related information for decoding. 2) 2L-DM: full model w/o Abandon Unit. 3) 2L-M: 2L-DM w/o Deliberation Unit. 4) 2-LSTM: 2L-M w/o Memory Unit. Similar trend exists in LF-DAM and MN-DAM, which indicates the effectiveness of each unit in DAM. Since the space limitation and similar observations, we show the ablation studies on DualVD-DAM in the following experiments.