Learning Class-Specific Features with Class Regularization for Videos

One of the main principles of Deep Convolutional Neural Networks (CNNs) is the extraction of useful features through a hierarchy of kernels operations. The kernels are not explicitly tailored to address specific target classes but are rather optimized as general feature extractors. Distinction betwe...

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Bibliographic Details
Main Authors: Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/18/6241