Online Continual Learning For Visual Food Classification

Food image classification is challenging for real-world applications since existing methods require static datasets for training and are not capable of learning from sequentially available new food images. Online continual learning aims to learn new classes from data stream by using each new data on...

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Bibliographische Detailangaben

Hauptverfasser:	He, Jiangpeng, Zhu, Fengqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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