Traffic Sign Classification Using Deep and Quantum Neural Networks
نویسندگان
چکیده
Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using hybrid quantum-classical convolutional neural network. Experiments on the German Traffic Sign Recognition Benchmark dataset indicate currently QNN do not outperform classical DCNN (Deep Convolutuional Networks), yet still provide accuracy of over 90% and definitely promising solution for advanced
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ژورنال
عنوان ژورنال: Lecture notes in networks and systems
سال: 2023
ISSN: ['2367-3370', '2367-3389']
DOI: https://doi.org/10.1007/978-3-031-22025-8_4