Hybrid pooling with wavelets for convolutional neural networks

The need to detect and classify objects correctly is a constant challenge, being able to recognize them at different scales and scenarios, sometimes cropped or badly lit is not an easy task. Convolutional neural networks (CNN) have become a widely applied technique since they are completely trainabl...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2022-01, Vol.42 (5), p.4327-4336
Hauptverfasser:	Trevino-Sanchez, Daniel, Alarcon-Aquino, Vicente
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Datasets Feature extraction Feature maps Multiresolution analysis Neural networks Object recognition Wavelet transforms
Online-Zugang:	Volltext
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