Generative adversarial network prototype correction-based few-sample image classification method and system

The invention discloses a few-sample image classification method and system based on generative adversarial network prototype correction, and the method comprises the steps: dividing a data set into a training set, a verification set and a test set, and obtaining a feature embedded network and an ad...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	CAO RENLONG, FENG SHUAILONG, LUO LIUFEI, YANG ZHAO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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