Few-shot traffic sign recognition with clustering inductive bias and random neural network

Shichao Zhou; Chenwei Deng; Zhengquan Piao; Baojun Zhao

doi:10.1016/j.patcog.2019.107160

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Few-shot traffic sign recognition with clustering inductive bias and random neural network

Shichao Zhou Chenwei Deng Zhengquan Piao Baojun Zhao

Year: 2019 Journal: Pattern Recognition Vol: 100 Pages: 107160-107160 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2019.107160

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Keywords:

Discriminative model Traffic sign recognition Computer science Artificial intelligence Convolutional neural network Inference Cluster analysis Pattern recognition (psychology) Feature (linguistics) Generative model Artificial neural network Feature learning Machine learning Sign (mathematics) Generalization Generative grammar Traffic sign Mathematics

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Few-shot traffic sign recognition with clustering inductive bias and random neural network

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