Deep Multimodal Neural Architecture Search
Table 5. Recall@{1, 5, 10} on Flickr30K to compare with the state-of-the-art methods.
['Method', 'Text⟶Image R@1', 'Text⟶Image R@5', 'Text⟶Image R@10', 'Image⟶Text R@1', 'Image⟶Text R@5', 'Image⟶Text R@10']
From the results, we can see that MMnasNet (0.5×) significantly outperforms existing state-of-the-art methods in terms of all evaluation metrics. Furthermore, the standard MMnasNet (1×) model steadily outperforms the compact (0.5×) model as expected. Since the model sizes of MMnasNets do not change much across different tasks, we do not report them further due to space limitations.