Marine weak and small moving ship real-time detection method based on deep learning
A deep learning and real-time detection technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems that the recognition algorithm is difficult to achieve the recognition results, the line of sight is blocked, and the reliability and practicability of the weak and small target detection system are affected.
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[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0028] The present invention proposes a new network structure that refers to the SELU activation function. The main frame of the network structure is based on the YOLOv3 algorithm, and draws lessons from the simple structure of YOLOv2 to selectively remove the redundant residual network structure to maintain the effective efficiency of small targets. information to improve detection speed. as attached figure 1 As shown, the structure of this algorithm is a fully convolutional network type, which consists of 8 layers of convolutional neural networks. This network can be roughly divided into two parts. The first part is the first 5-layer network, which is used to extract the...
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