(2015), we only consider a list of words with high frequency in the dataset as seeds, denoted as H. The relevance distribution of words in H for an image I i is computed as follows: is in the same size as H. In the second step, we compute the relevance scores of words in the full vocabulary V given the image I i and the probabilities of directly-related words S (H) i .
a 2-layer MLP with sigmoid function is employed.