A Single-Target License Plate Detection with Attention

• URL: http://arxiv.org/abs/2112.12070v1
• Date: Sun, 12 Dec 2021 03:00:03 GMT
• Title: A Single-Target License Plate Detection with Attention
• Authors: Wenyun Li and Chi-Man Pun
• Abstract summary: Neural Network is commonly adopted to the License Plate Detection (LPD) task and achieves much better performance and precision, especially CNN-based networks can achieve state of the art RetinaNet. For a single object detection task such as LPD, modified general object detection would be time-consuming, unable to cope with complex scenarios and a cumbersome weights file that is too hard to deploy on the embedded device.
• Score: 56.83051142257412
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With the development of deep learning, Neural Network is commonly adopted to the License Plate Detection (LPD) task and achieves much better performance and precision, especially CNN-based networks can achieve state of the art RetinaNet[1]. For a single object detection task such as LPD, modified general object detection would be time-consuming, unable to cope with complex scenarios and a cumbersome weights file that is too hard to deploy on the embedded device.

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