Chaotic nonlinear transformations on CNN features yield consistent accuracy gains of up to 9% on limited-data image classification without adding parameters.
In: 2020 International Conference on Signal Processing and Communications (SPCOM), pp
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Chaotic CNN for Limited Data Image Classification
Chaotic nonlinear transformations on CNN features yield consistent accuracy gains of up to 9% on limited-data image classification without adding parameters.