Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama. Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. In 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022. pages 421-425, IEEE, 2022. [doi]
@inproceedings{LiT0H22,
title = {Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models},
author = {Zongyao Li and Ren Togo and Takahiro Ogawa 0001 and Miki Haseyama},
year = {2022},
doi = {10.1109/ICIP46576.2022.9897487},
url = {https://doi.org/10.1109/ICIP46576.2022.9897487},
researchr = {https://researchr.org/publication/LiT0H22},
cites = {0},
citedby = {0},
pages = {421-425},
booktitle = {2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022},
publisher = {IEEE},
isbn = {978-1-6654-9620-9},
}