A Novel Convolutional Neural Network Based Architecture for Object Detection and Recognition with an Application to Traffic Sign Recognition from Road Scenes
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1134/S1054661822020110.pdf
Reference31 articles.
1. A. M. Geetha and S. K. Thangavel, “Deep learning for driver assistance using estimated trajectory complexity parameter,” J. Adv. Res. Dyn. Control Syst. 10 (9), 871–879 (2018).
2. Á. Arcos-García, J. A. Álvarez-García, and L. M. Soria-Morillo, “Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods,” Neural Networks 99, 158-165 (2018). https://doi.org/10.1016/j.neunet.2018.01.005
3. Á. Arcos-García, J. A. Álvarez-García, and L. M. Soria-Morillo, “Evaluation of deep neural networks for traffic sign detection systems,” Neurocomputing 316, 332–344 (2018). https://doi.org/10.1016/j.neucom.2018.08.009
4. X. Changzhen, W. Cong, M. Weixin, and S. Yanmei, “A traffic sign detection algorithm based on deep convolutional neural network,” in IEEE Int. Conf. on Signal and Image Processing (ICSIP), Beijing, 2016 (IEEE, 2016), pp. 676–679. https://doi.org/10.1109/SIPROCESS.2016.7888348
5. J. Choi, D. Chun, H. Kim, and H.-J. Lee, “Gaussian YOLOv3: An accurate and fast object detector using localization uncertainty for autonomous driving,” in IEEE/CVF Int. Conf. on Computer Vision (ICCV), Seoul, 2019 (IEEE, 2019), pp. 502–511. https://doi.org/10.1109/ICCV.2019.00059
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