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Found 4 papers, 1 papers with code
Explaining Face Presentation Attack Detection Using Natural Language
Due to the limited amount of annotated data in our study, we apply a light-weight LSTM network as our natural language generation model.
CORD19STS: COVID-19 Semantic Textual Similarity Dataset
To overcome this gap, we introduce CORD19STS dataset which includes 13, 710 annotated sentence pairs collected from COVID-19 open research dataset (CORD-19) challenge.
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
Our evaluation compares different combination of the new sensing modalities to legacy data from one of our collections as well as the public LivDet2015 dataset, showing the superiority of the new sensing modalities in most cases.
On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks
To examine the effect of the presence of an unseen attack, we apply a leave-one-attack out strategy.
