Face anti‐spoofing from the perspective of data sampling

HIGHLIGHTS

  • who: Usman, Muhammad and u2709, from the University of(CMVS), Oulu, Finland have published the paper: Face antiu2010spoofing from the perspective of data sampling, in the Journal: (JOURNAL) of 22/08/2022
  • what: Different from existing domain generalization methods that focus on learning a common feature space as, the proposed model aims to directly learn from the perspective of input data. Specifically, the authors demonstrate that appropriate data sampling provides an alternative solution in achieving a good generalization. The analysis shows that the proposed temporal modelling can amplify important clues, for example, hand movements, and . . .

     

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