Best Paper Award at 2019 MITA

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郭劭恆

Best Paper Award at 2019 MITA

By郭劭恆

・

Taipei, Taiwan

Paper title: Vehicle Front-Rear detection for license plate detection enhancement. Description: A deep learning-based network for detecting and classifying vehicle's front and rear. Received Best Paper Award out of 184 papers at 2019 MITA. Open sourced, https://github.com/hankerkuo/Vehicle-Front-Rear-Detection-for-License-Plate-Detection-Enhancement Publication date: Jun. 27, 2019. Publication description: 15th International Conference on Multimedia Information Technology and Applications(MITA), 2019

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郭劭恆

Published: Mar 27th 2020

Image Processing

Object Detection

Deep Learning

Best Paper Award at 2019 MITA

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