10 citations · 17 across the 4 of their papers we have counts for
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cs.CV2022★ 7 cited
Performance Evaluation of Action Recognition Models on Low Quality Videos
Aoi Otani, Ryota Hashiguchi, Kazuki Omi +2
In the design of action recognition models, the quality of videos is an important issue; however, the trade-off between the quality and performance is often ignored. In general, ac…
cs.CV2022★ 10 cited
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition
Kazuki Omi, Jun Kimata, Toru Tamaki
In this paper, we propose a multi-domain learning model for action recognition. The proposed method inserts domain-specific adapters between layers of domain-independent layers of…