Kohei Watanabe — accepted AI-conference papers

2018

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada

CVPR 2018poster

In this work, we present a method for unsupervised domain adaptation. Many adversarial learning methods train domain classifier networks to distinguish the features as either a source or target and train a feature generator network to mimic the discriminator. Two problems exist with these methods.…

Cited by 2008 Source ↗PDF ↗code ↗Scholar ↗

2017

MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes

Qishen Ha, Kohei Watanabe, Takumi Karasawa, Yoshitaka Ushiku, Tatsuya Harada

IROS 2017poster

This work addresses the semantic segmentation of images of street scenes for autonomous vehicles based on a new RGB-Thermal dataset, which is also introduced in this paper. An increasing interest in self-driving vehicles has brought the adaptation of semantic segmentation to self-driving systems. Ho…

Cited by 617 Source ↗Scholar ↗