Chaotic nonlinear transformations on CNN features yield consistent accuracy gains of up to 9% on limited-data image classification without adding parameters.
Electronics and Communications in Japan (Part III: Fundamental Electronic Science)81(8), 73–82 (1998)
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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.