Object detection of inland waterway ships based on improved SSD model
Author:
Affiliation:
1. School of Naval Architecture & Ocean Engineering, Dalian University of Technology, Dalian, People’s Republic of China
Funder
Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Ocean Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17445302.2022.2110406
Reference24 articles.
1. Bodla N, Singh B, Chellappa R, Davis LS. 2017. Improving object detection with one line of code. IEEE International Conference on Computer Vision, Venice, Italy. arXiv:1704.04503v2.
2. Chen CR, Zhang Y, Lv QX, Wei S, Wang XR, Sun X, Dong JY. 2019. RRNet: a hybrid detector for object detection in drone-captured images. 2019 International Conference on Computer Vision Workshop, Seoul, South Korea. 9021981:100–108.
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