102 citations · 349 across the 13 of their papers we have counts for
4 papers · 1 filter
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Yunxiao Qin, Weiguo Zhang, Chenxu Zhao +5
Recently, meta-learning has been shown as a promising way to solve few-shot learning. In this paper, inspired by the human cognition process which utilizes both prior-knowledge and…
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
Shifeng Zhang, Xiaobo Wang, Ajian Liu +6
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmar…
Representation based and Attention augmented Meta learning
Yunxiao Qin, Chenxu Zhao, Zezheng Wang +3
Deep learning based computer vision fails to work when labeled images are scarce. Recently, Meta learning algorithm has been confirmed as a promising way to improve the ability of…
Exploiting temporal and depth information for multi-frame face anti-spoofing
Zezheng Wang, Chenxu Zhao, Yunxiao Qin +4
Face anti-spoofing is significant to the security of face recognition systems. Previous works on depth supervised learning have proved the effectiveness for face anti-spoofing. Nev…