function. The output of the softmax function is scaled to range
[0, 255] and resized from 14×14 to 244×244 in order to
obtain images of attention maps with the same resolution as
the original input image. The prediction score of a particular
task (aesthetic, sentiment or memorability) is estimated with
LSTM over a three steps long sequence. In the subsequent
LSTM steps, the attention moves to the regions responsible
for estimating the scores of a particular task. Fig. 2 shows
examples of attention maps for different ﬁne art images pro-
duced in the ﬁnal LSTM step.
A_Deep_Learning_Perspective_on_Beauty_Sentiment_and_Remembrance_of_Art