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License Plate Detection and Recognition in Unconstrained Scenarios阅读笔记
时间 2020-12-26
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motivation:多数数据集是固定场景的,比如,台湾,美国等,且基本都是车头的车牌 contribution:一提出的网络可以检测多个角度场景的图片,在ocr之前可以自动校正车牌 二,使用大量的数据増广,使得模型,即使在小于200张的图片下也可以训练 模型:包含车辆检测,车牌检测,以及OCR。如下图: 车辆检测:yolov2 不训练不fintun
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相关文章
1.
[论文阅读]CCPD|Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
2.
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LPRNet: License Plate Recognition via Deep Neural Networks
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WMS LPN(License Plate Number)
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论文阅读笔记 SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition
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