FOIL it! Find One mismatch between Image and Language caption

Overview of attention for article published in arXiv, January 2017

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (93rd percentile)
High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter: 46 X users

facebook: 1 Facebook page

Readers on

mendeley: 169 Mendeley

So far, Altmetric has seen 57 X posts from 46 X users, with an upper bound of 507,202 followers.

RT @deliprao: Why priors are important (even in #deeplearning) and large amounts of data is an inefficient way to induce priors. https://t.…

RT @jacobandreas: Next: Ravi Shekhar on breaking captioning models https://t.co/AgYeC8laPv #acl2017nlp

Next: Ravi Shekhar on breaking captioning models https://t.co/AgYeC8laPv #acl2017nlp

RT @johnplattml: Injecting plausible, but wrong words into image captions. Humans are good at detection, #deeplearning is poor. https://t.c…

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