MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition
Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio Nakamura, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka
IROS 2021 [Paper]

Can Vision Transformers Learn without Natural Images?
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
arXiv pre-print 2021
[Paper] [Project] [Code] [Dataset]

Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
ICPR 2020
[Paper] [YouTube]

Pre-training without Natural Images
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
ACCV 2020 Best Paper Honorable Mention Award
[Paper] [Project] [Code] [Dataset] [Oral] [Poster] [Supp. Mat.]

限られたデータからの深層学習
Nakamasa Inoue
MIRU 2021
[Link] [Slide]

Pre-training without Natural Images
Hirokatsu Kataoka
SNL 2021
[Link] [Slide]