Contents
Table 6.10: Flickr30K experiments with SSE textual model (window size =5). 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] SSE for textual model  [BOLD] Metric', '[BOLD] SSE for textual model  [BOLD] Image Annotation', '[BOLD] SSE for textual model  [BOLD] Image Annotation', '[BOLD] SSE for textual model  [BOLD] Image Annotation', '[BOLD] SSE for textual model  [BOLD] Image Annotation', '[BOLD] SSE for textual model  [BOLD] Image Search', '[BOLD] SSE for textual model  [BOLD] Image Search', '[BOLD] SSE for textual model  [BOLD] Image Search', '[BOLD] SSE for textual model  [BOLD] Image Search']
However, empirical results show another story and the model performs not as well as other previously discussed models. The architecture has context window of size 5 and both word level and phrase level embeddings of 300 dimensions. This model is initialized with word2vec, and it is important to note that if we did not use word2vec initialization the performance fell staggeringly to about half the current performance.