  This paper deals with the prediction of the memorability of a given image. We
start by proposing an algorithm that reaches human-level performance on the
LaMem dataset - the only large scale benchmark for memorability prediction. The
suggested algorithm is based on three observations we make regarding
convolutional neural networks (CNNs) that affect memorability prediction.
Having reached human-level performance we were humbled, and asked ourselves
whether indeed we have resolved memorability prediction - and answered this
question in the negative. We studied a few factors and made some
recommendations that should be taken into account when designing the next
benchmark.
