中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Template Matching Based on Geometric Invariance in Deep Neural Network

文献类型:期刊论文

作者Cao, Yaming; Yang, Zhen; Wang, Haijiao; Peng, Xiaodong; Gao, Chen; Li, Yun
刊名IEEE ACCESS
出版日期2019
卷号7页码:82174-82182
关键词Deep neural network geometric invariant interpretability template match adversarial example
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2923674
英文摘要Machine learning models, especially deep neural networks (DNNs), have achieved state of the art in computer vision and speech recognition. However, with wide applications of DNNs, some problems have appeared, such as lack of interpretability and vulnerable to adversarial examples. Whether the judgment of the model is consistent with that of human is a key to the wide application and development of neural networks. In this paper, we propose a novel and interpretable method to enable the model to make the same judgment as humans in the adversarial examples, which is based on the geometric invariance between images of the same category. Template matching is combined with convolution neural network during the training and testing stage. Moreover, we manage to give a theorical proof. The geometric invariance features got from the template matching are fused with the features extracted by the convolutional layers. The experimental results demonstrate the temp_model (network added the template matching) has a higher test accuracy both on benchmark sequences and adversarial examples, and we use a visual method to explain the reason why adding template can make the network perform better. The generality and convergence of the network improve without increasing the model size and training time after adding the template as common sense.
语种英语
源URL[http://ir.nssc.ac.cn/handle/122/7065]  
专题国家空间科学中心_空间技术部
推荐引用方式
GB/T 7714
Cao, Yaming,Yang, Zhen,Wang, Haijiao,et al. Template Matching Based on Geometric Invariance in Deep Neural Network[J]. IEEE ACCESS,2019,7:82174-82182.
APA Cao, Yaming,Yang, Zhen,Wang, Haijiao,Peng, Xiaodong,Gao, Chen,&Li, Yun.(2019).Template Matching Based on Geometric Invariance in Deep Neural Network.IEEE ACCESS,7,82174-82182.
MLA Cao, Yaming,et al."Template Matching Based on Geometric Invariance in Deep Neural Network".IEEE ACCESS 7(2019):82174-82182.

入库方式: OAI收割

来源:国家空间科学中心

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