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arXiv · 1901.11420

Is Image Memorability Prediction Solved?

Shay Perera·Ayellet Tal·Lihi Zelnik-Manor
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Abstract

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.

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Shay Perera, Ayellet Tal, Lihi Zelnik-Manor. 2019-01-31. Is Image Memorability Prediction Solved?. https://arxiv.org/abs/1901.11420

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