70 citations · 157 across the 11 of their papers we have counts for
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cs.CV2022★ 5 cited
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo, Yaojie Liu, Anil Jain +1
In this work, we study multi-domain learning for face anti-spoofing(MD-FAS), where a pre-trained FAS model needs to be updated to perform equally well on both source and target dom…
cs.CV2022★ 1 cited
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
Yunyun Wang, Yao Liu, Songcan Chen
Universal domain adaptation (UniDA) is a general unsupervised domain adaptation setting, which addresses both domain and label shifts in adaptation. Its main challenge lies in how…
cs.CV2022★ 3 cited
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
Hsin-Ping Huang, Deqing Sun, Yaojie Liu +5
While recent face anti-spoofing methods perform well under the intra-domain setups, an effective approach needs to account for much larger appearance variations of images acquired…