Convolutional Prototype Network for Open Set Recognition

Despite the success of convolutional neural network (CNN) in conventional closed-set recognition (CSR), it still lacks robustness for dealing with unknowns (those out of known classes) in open environment. To improve the robustness of CNN in open-set recognition (OSR) and meanwhile maintain its high...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 44; H. 5; S. 2358 - 2370
Hauptverfasser:	Yang, Hong-Ming, Zhang, Xu-Yao, Yin, Fei, Yang, Qing, Liu, Cheng-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Biological neural networks Brain modeling CNN discriminative model Feature extraction generative model Humans Learning Neural Networks, Computer Open-set recognition prototype model Prototypes Recognition Regularization Robustness Task analysis Training unknown detection
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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