Search Results for author: Asanobu Kitamoto

Found 9 papers, 4 papers with code

Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation

1 code implementation4 Jun 2021 Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto

The study of Ukiyo-e, an important genre of pre-modern Japanese art, focuses on the object and style like other artwork researches.

Attribute BIG-bench Machine Learning +2

KaoKore: A Pre-modern Japanese Art Facial Expression Dataset

1 code implementation20 Feb 2020 Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto

From classifying handwritten digits to generating strings of text, the datasets which have received long-time focus from the machine learning community vary greatly in their subject matter.

BIG-bench Machine Learning Image Classification

KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning

no code implementations21 Oct 2019 Tarin Clanuwat, Alex Lamb, Asanobu Kitamoto

However, following a change to the Japanese writing system in 1900, Kuzushiji has not been included in regular school curricula.

A human-inspired recognition system for premodern Japanese historical documents

no code implementations14 May 2019 Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto

In this paper, we propose a human-inspired document reading system to recognize multiple lines of premodern Japanese historical documents.

Deep Learning for Classical Japanese Literature

10 code implementations3 Dec 2018 Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha

Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tasks.

BIG-bench Machine Learning Image Classification

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