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Found 2 papers, 1 papers with code
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Face anti-spoofing (a. k. a presentation attack detection) has drawn growing attention due to the high-security demand in face authentication systems.
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Face Anti-Spoofing
on MSU-MFSD
Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders
This study applies convolutional neural networks (CNN) to capture neighborhood characteristics from satellite images and to enhance the performance of LUC modeling.
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