no code implementations • 16 Feb 2023 • Tomoki Yoshida, Yuki Kondo, Takahiro Maeda, Kazutoshi Akita, Norimichi Ukita
In our second model, the Kernelized BackProjection Network (KBPN), a raw kernel is estimated and directly employed for modeling the image degradation.
no code implementations • 1 Sep 2020 • Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris, Norimichi Ukita
The previous approaches use several loss functions which is hard to interpret and has the implicit relationships to improve the perceptual score.
2 code implementations • 3 Feb 2020 • Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Hence, we propose a supervised distance metric learning method for the graph classification problem.
1 code implementation • 12 Feb 2018 • Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Distance metric learning can optimize a metric over a set of triplets, each one of which is defined by a pair of same class instances and an instance in a different class.