Better Text UnderstandingThrough Image-To-Text Transfer
Table 5: Comparison of average test scores when training on different datasets.
['[BOLD] Train Dataset', '[BOLD] Word2Vec', '[BOLD] PinModelA', '[BOLD] VETE-RNN', '[BOLD] VETE-BOW']
We study the effect of the training dataset. Each cell of the table contains the average score of 4 evaluation datasets (images2014, images2014, COCO-Test, Pin-Test). However, we conclude that the relation between the models is preserved, that is: regardless of the dataset used for training, PinModelA is always worse than VETE-RNN, which in turn is worse than VETE-BOW.