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arXiv · 1610.03708

Generating captions without looking beyond objects

Hendrik Heuer·Christof Monz·Arnold W. M. Smeulders
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Abstract

This paper explores new evaluation perspectives for image captioning and introduces a noun translation task that achieves comparative image caption generation performance by translating from a set of nouns to captions. This implies that in image captioning, all word categories other than nouns can be evoked by a powerful language model without sacrificing performance on n-gram precision. The paper also investigates lower and upper bounds of how much individual word categories in the captions contribute to the final BLEU score. A large possible improvement exists for nouns, verbs, and prepositions.

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Hendrik Heuer, Christof Monz, Arnold W. M. Smeulders. 2016-10-12. Generating captions without looking beyond objects. https://arxiv.org/abs/1610.03708

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