Target detection method based on information enhancement
A target detection and information enhancement technology, applied in the field of computer vision, can solve the problem of low accuracy
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[0083] figure 1 Is the overall flow chart of the present invention. like figure 1 Shown, the present invention comprises the following steps:
[0084] Step 1: Build a target detection system. The system as figure 2 As shown, it consists of a feature extraction module, a semantic enhancement module, a feature selection module, a feature fusion module, and a detection module.
[0085] The feature extraction module is a convolutional neural network, which is connected with the semantic enhancement module. The feature extraction module includes a total of 23 convolutional layers and 5 pooling layers, with a total of 28 layers. The pooling layers are the 3rd, 6th, 10th, 14th, and 18th layers, and the other layers are convolutional layers. The feature extraction module receives the image I, performs feature extraction on the image I, obtains a multi-scale feature map set F(I), and sends F(I) to the semantic enhancement module. The multi-scale feature map set contains feature...
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