Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03584-0.pdf
Reference75 articles.
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2. Bangquan X, Xiong WX (2019) Real-time embedded traffic sign recognition using efficient convolutional neural network. IEEE Access 7:53330–53346. https://doi.org/10.1109/ACCESS.2019.2912311
3. Basbug AM, Sert M (2019) Acoustic scene classification using spatial pyramid pooling with convolutional neural networks. In: Proceedings—13th IEEE international conference on semantic computing, ICSC 2019, pp 128–131
4. Chen T, Lu S (2016) Accurate and efficient traffic sign detection using discriminative AdaBoost and support vector regression. IEEE Trans Veh Technol 65:4006–4015. https://doi.org/10.1109/TVT.2015.2500275
5. Chen CH, Chen CY, Liu NY (2019a) Hardware design of codebook-based moving object detecting method for dynamic gesture recognition. Intell Autom Soft Comput. https://doi.org/10.31209/2019.100000099
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