The Importance of the Instantaneous Phase in Detecting Faces with Convolutional Neural Networks. (arXiv:2208.01638v1 [cs.CV])

Convolutional Neural Networks (CNN) have provided new and accurate methods
for processing digital images and videos. Yet, training CNNs is extremely
demanding in terms of computational resources. Also, for specific applications,
the standard use of transfer learning also tends to require far more resources
than what may be needed. Furthermore, the final systems tend to operate as
black boxes that are difficult to interpret. The current thesis considers the
problem of detecting faces from the AOLME video dataset. The AOLME …

arxiv convolutional neural networks cv importance networks neural networks