Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
Table 3: Image-caption ranking results for English (MS-COCO)
['[EMPTY]', 'Image to Text R@1', 'Image to Text R@5', 'Image to Text R@10', 'Image to Text Mr', 'Text to Image R@1', 'Text to Image R@5', 'Text to Image R@10', 'Text to Image Mr', 'Alignment']
We achieve 10.42% improvement on aver [CONTINUE] age compared to Kiros et al. (2014) in the symmetric manner. We show that adapting the word embedding for the task at hand, boosts the general performance, since AME model significantly outperforms FME model in both languages.