Class Representative Learning Model

The CRL model is based on class-level classifiers, built class-by-class, that would be a representative of instances of a specific class by utilizing activation features of Convolutional Neural Networks responding to the new cases.

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Cite this as

Mayanka Chandrashekar, Yugyung Lee (2024). Dataset: Class Representative Learning Model. https://doi.org/10.57702/8ppo8y9e

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2002.06619
Author Mayanka Chandrashekar
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Yugyung Lee