Search Results for author: Kento Terao

Found 2 papers, 1 papers with code

An Entropy Clustering Approach for Assessing Visual Question Difficulty

1 code implementation12 Apr 2020 Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh

Then we use state-of-the-art methods to determine the accuracy and the entropy of the answer distributions for each cluster.

Clustering Question Answering +1

Rephrasing visual questions by specifying the entropy of the answer distribution

no code implementations10 Apr 2020 Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh

The proposed model rephrases a source question given with an image so that the rephrased question has the ambiguity (or entropy) specified by users.

Question Answering Visual Question Answering

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