7 citations · 8 across the 3 of their papers we have counts for
3 papers
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation
Haruya Sakashita, Christoph Flothow, Noriko Takemura +1
Together with the recent advances in semantic segmentation, many domain adaptation methods have been proposed to overcome the domain gap between training and deployment environment…
Development of a Vertex Finding Algorithm using Recurrent Neural Network
Kiichi Goto, Taikan Suehara, Tamaki Yoshioka +5
Deep learning is a rapidly-evolving technology with possibility to significantly improve physics reach of collider experiments. In this study we developed a novel algorithm of vert…
Procams-Based Cybernetics
Kosuke Sato, Daisuke Iwai, Sei Ikeda +1
Procams-based cybernetics is a unique, emerging research field, which aims at enhancing and supporting our activities by naturally connecting human and computers/machines as a coop…