Sparse and Structured Visual Attention
Table 2: Human evaluation results on MSCOCO.
['[EMPTY]', 'caption', 'attention relevance']
Despite performing slightly worse than sparsemax under automatic metrics, TVMAX outperforms sparsemax and softmax in the caption human evaluation and the attention relevance human evaluation, reported in Table 2. The superior score on attention relevance shows that TVMAX is better at selecting the relevant features and its output is more interpretable. Additionally, the better caption evaluation results demonstrate that the ability to select compact regions induces the generation of better captions. [CONTINUE] With these scores, we computed the mean of the captions evaluation scores and the mean of the attention relevance evaluation scores. The results are reported in Table 2.