Contents
Table 6.5: Flickr30K experiments without Word2Vec initialization. R@K is Recall@K (high is good). Med r is the median rank (low is good). rPrecision(5) is the precision at rank 5 (high is good).
['[BOLD] BoW model w/o Word2Vec  [BOLD] Metric', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Annotation', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Annotation', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Annotation', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Annotation', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Search', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Search', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Search', '[BOLD] BoW model w/o Word2Vec  [BOLD] Image Search']
A quick comparison between the performance metrics in these two tables shows that although word2vec initialization does help in improving the accuracy of the system, but the effects are not extremely drastic. For example R@10:avg_txt for image annotation increases by 3.3% while for image search increases by 3.86%.