Convolutional Prototype Network for Open Set Recognition

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 5; pp. 2358 - 2370
• Main Authors: Yang, Hong-Ming, Zhang, Xu-Yao, Yin, Fei, Yang, Qing, Liu, Cheng-Lin
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...