SS-HCNN : semi-supervised hierarchical convolutional neural network for image classification
The availability of large-scale annotated data and uneven separability of different data categories become two major impediments of deep learning for image classification. In this paper, we present a Semi-Supervised Hierarchical Convolutional Neural Network (SS-HCNN) to address these two challenges....
Main Authors: | Chen, Tao, Lu, Shijian, Fan, Jiayuan |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/143029 |
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