no code implementations • 10 Oct 2022 • Zih-Ching Chen, Chin-Lun Fu, Chih-Ying Liu, Shang-Wen Li, Hung-Yi Lee
In downstream tasks, the parameters of SSL models are frozen, and only the adapters are trained.
no code implementations • 16 Aug 2022 • Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang
Face anti-spoofing (FAS) aims at distinguishing face spoof attacks from the authentic ones, which is typically approached by learning proper models for performing the associated classification task.
1 code implementation • Findings (NAACL) 2022 • Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee, Hung-Yi Lee
Transformer-based pre-trained models with millions of parameters require large storage.