Ship detection method and system combining significance detection and depth learning
A ship detection and deep learning technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problem of insufficient detection accuracy and achieve good stability and high robustness
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[0040] In order to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.
[0041] The present invention provides a model for real-time detection of offshore vessels using depth features and salient features. In order to ensure the real-time performance, the model uses the YOLOv2 network in deep learning to predict the ship category and position, and uses the global contrast-based saliency detection to correct the ship position to obtain more accurate ship coordinates and ensure the real-time performance of the model. In order to further improve the accuracy, the present invention combines YOLOv2 and saliency detection to obtain a more accurate ship position. The training and experiments of the model are carried out on the ship data set constructed by ourselves, and very accurate and robust detection results are obtained.
[0042] see attac...
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