articleTop 1% cited
An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system
Ocean Engineering · 2021 · Vol. 235 · pp. 109435–109435
Ryan Wen Liu(Wuhan University of Technology)Weiqiao Yuan(Wuhan University of Technology)Xinqiang Chen(Shanghai Maritime University)Yuxu Lu✉(Wuhan University of Technology)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval TechniquesVideo Surveillance and Tracking MethodsConvolutional neural networkComputer scienceArtificial intelligenceRobustness (evolution)Adverse weatherBounding overwatchDeep learningObject detectionArtificial neural networkReal-time computing
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251
FWCI
18.41
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107
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References
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 52,930 citations
Vision-based object detection and tracking for autonomous navigation of underwater robots
Ocean Engineering · 2012 · 219 citations
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey
IEEE Transactions on Intelligent Transportation Systems · 2017 · 441 citations
Focal Loss for Dense Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 9,349 citations
CornerNet: Detecting Objects as Paired Keypoints
International Journal of Computer Vision · 2019 · 1,115 citations
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