Target detection method based on scene level and region suggestion self-attention module
A target detection and scene-level technology, applied in the field of image processing and computer vision, can solve the problem of low target detection accuracy and achieve the effect of improving accuracy
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[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.
[0036] see figure 1 , a target detection method based on the scene-level and region proposal self-attention module, which specifically includes the following steps:
[0037] Step 1. Build a target detection model with a depth-separable shared network, a scene-level-region proposal self-attention module, and a lightweight head network.
[0038] The present invention is based on a target detection model based on a depth-separable shared network, a scene-level-region suggestion self-attention module, and a lightweight head network. First, replace part of the convolutional residual modules in the backbone network with depth-separable shared volumes and networks, and construct a depth-separable shared convolution network to reduce computational complexity and improve computat...
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