@inproceedings{0673390252e84422993fe5631a671cdd,
title = "Contour Accentuation for Transfer Learning-Based Ship Recognition Method",
abstract = "This study proposes a ship recognition system which includes intelligent bridge piers and a ship recognition server. The ship recognition server can analyse the contour features of ship images from intelligent bridge piers by the proposed contour accentuation method; the ship image with contour accentuation can be adopted as the inputs of transfer learning-based neural network for ship classification by the proposed transfer learning-based ship recognition method. In practical experiments, the results showed that the proposed transfer learning-based ship recognition method with contour accentuation can obtain higher accuracy, and the accuracy of the proposed method was 97.79%.",
keywords = "contour accentuation, convolutional neural network, ship recognition, transfer learning",
author = "Chen, {Chi Hua} and Yizhuo Zhang and Wenzhong Guo and Mingyang Pan and Lingjuan Lyu and Lin, {Chia Yu}",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 29th International World Wide Web Conference, WWW 2020 ; Conference date: 20-04-2020 Through 24-04-2020",
year = "2020",
month = apr,
day = "20",
doi = "10.1145/3366424.3382697",
language = "???core.languages.en_GB???",
series = "The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020",
publisher = "Association for Computing Machinery",
pages = "61--62",
booktitle = "The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020",
}