1 code implementation • NeurIPS 2023 • Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat
We also address data quality issues such as inter-satellite calibration to create a homogeneous dataset.
no code implementations • 12 Jun 2021 • Alex Lamb, Tarin Clanuwat, Siyu Han, Mikel Bober-Irizar, Asanobu Kitamoto
A major research project has been to make these historical documents accessible and understandable.
1 code implementation • 4 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.
1 code implementation • 20 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.
no code implementations • 21 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.
no code implementations • 14 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In this paper, we propose a human-inspired document reading system to recognize multiple lines of premodern Japanese historical documents.
10 code implementations • 3 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.
Ranked #4 on Image Classification on Kuzushiji-MNIST (Error metric)