The following two papers were selected as oral for MIRU2022.
(long)
- Q.Yu, G. Irie, K. Aizawa, Few-Shot Open-Set Domain Adaptation with Self-Labeling Framework.
- A. Miyai, Q. Yu, D. Ikami, G. Irie, K. Aizawa, Rethinking Rotation for Contrastive Learning: Adaptive Positive or Negative Data Augmentation.
(short)
- 金海智大, 松井勇佑,データ重複が最近傍探索問題に与える精度変化の分析
(long)
- Q.Yu, G. Irie, K. Aizawa, Few-Shot Open-Set Domain Adaptation with Self-Labeling Framework.
- A. Miyai, Q. Yu, D. Ikami, G. Irie, K. Aizawa, Rethinking Rotation for Contrastive Learning: Adaptive Positive or Negative Data Augmentation.
(short)
- 金海智大, 松井勇佑,データ重複が最近傍探索問題に与える精度変化の分析