1 code implementation • 2 Mar 2023 • Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura
This paper describes a method of domain adaptive training for semantic segmentation using multiple source datasets that are not necessarily relevant to the target dataset.
no code implementations • 13 Aug 2022 • Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura
This paper describes a method of online refinement of a scene recognition model for robot navigation considering traversable plants, flexible plant parts which a robot can push aside while moving.
no code implementations • 12 Feb 2021 • Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa
The core of our idea is to use multiple rich image datasets of different environments with segmentation labels to generate pseudo-labels for the target images to effectively transfer the knowledge from multiple sources and realize a precise training of semantic segmentation.