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佐藤育郎 2021年 研究業績一覧 (4件 / 55件)
国際会議発表 (査読有り)
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Keita Takayama,
Ikuro Sato,
Teppei Suzuki,
Rei Kawakami,
Kuniaki Uto,
Koichi Shinoda.
Smooth Transfer Learning for Source-to-Target Generalization,
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications,
Proc. NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications,
Dec. 2021.
公式リンク
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Nakamasa Inoue,
Ryota Yamada,
Rei Kawakami,
Ikuro Sato.
Disentangling Latent Groups of Factors,
2021 IEEE International Conference on Image Processing,
Proc. 2021 IEEE International Conference on Image Processing (ICIP),
IEEE,
Sept. 2021.
公式リンク
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Ikuro Sato,
Guoqing Liu,
Kohta Ishikawa,
Teppei Suzuki,
Masayuki Tanaka.
Does end-to-end trained deep model always perform better than non-end-to-end counterpart?,
Image Processing: Algorithms and Systems XIX, Electronic Imaging,
Jan. 2021.
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