1 code implementation • 11 Dec 2018 • Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
The other is a multitask learning approach that uses depth images as outputs.
no code implementations • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 • Qishen Ha, Kohei Watanabe, Takumi Karasawa, Yoshitaka Ushiku, Tatsuya Harada
We benchmarked our method by creating an RGB-Thermal dataset in which thermal and RGB images are combined.
Ranked #5 on Thermal Image Segmentation on KP day-night
8 code implementations • CVPR 2018 • Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada
To solve these problems, we introduce a new approach that attempts to align distributions of source and target by utilizing the task-specific decision boundaries.
Ranked #3 on Domain Adaptation on HMDBfull-to-UCF
Image Classification Multi-Source Unsupervised Domain Adaptation +2