Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition

Author:

Laroca Rayson1,Estevam Valter1,Britto Alceu S.2,Minetto Rodrigo3,Menotti David1

Affiliation:

1. Federal University of Paraná,Curitiba,Brazil

2. Pontifical Catholic University of Paraná,Curitiba,Brazil

3. Federal University of Technology-Paraná,Curitiba,Brazil

Publisher

IEEE

Reference56 articles.

1. Joint license plate super-resolution and recognition in one multi-task GAN framework;zhang;IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),0

2. A robust real-time automatic license plate recognition based on the YOLO detector;laroca;International Joint Conference on Neural Networks (IJCNN),0

3. Unified Chinese License Plate detection and recognition with high efficiency

4. Improving robustness of license plates automatic recognition in natural scenes;fan;IEEE Transactions on Intelligent Transportation Systems,2022

5. Effective deep neural networks for license plate detection and recognition;pham;The Visual Computer,2022

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Super-Resolution Towards License Plate Recognition;Anais do XXXVII Concurso de Teses e Dissertações (CTD 2024);2024-07-21

2. Leveraging Model Fusion for Improved License Plate Recognition;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

3. Super-resolution of license plate images using attention modules and sub-pixel convolution layers;Computers & Graphics;2023-06

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