Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers

Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers

With the development of deep convolutional neural networks in recent years, the network structure has become more and more complicated and varied, and there are very good results in pattern recognition, image classification, scene classification, and target tracking. This end-to-end learning model r...

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Bibliographic Details
Main Authors: Xin Ye, Qiuyu Zhu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
One-class classifier
loss function
feature extraction
incremental learning
Online Access:https://ieeexplore.ieee.org/document/8666123/

Internet

https://ieeexplore.ieee.org/document/8666123/

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