Target detection model training method and target rapid detection method

A target detection and training method technology, applied in the field of computer vision, to prevent network overfitting, improve target detection accuracy, and easy to transplant

CN111461213AActive Publication Date: 2020-07-28HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-07-28

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Abstract

The invention discloses a target detection model training method and a rapid target detection method. The training method comprises the following steps: adding a target region feature enhancement layer during training; performing feature extraction on the training sample by using a feature extraction unit, and averaging channels of a feature map output by a previous-level feature extraction unit to obtain a first feature value matrix with a normalized channel number; traversing each pixel point in the training sample to generate a second eigenvalue matrix; multiplying the element values of thefirst eigenvalue matrix by the element values of the second eigenvalue matrix to obtain a third eigenvalue matrix; multiplying the third eigenvalue matrix by a preset adjustment function, then performing element value addition on each channel eigenmatrix of the eigenmap to obtain a target enhanced eigenmap, and inputting the target enhanced eigenmap into a next eigenextraction unit. According tothe invention, the network is fully trained, the relationship between the network depth and the detection precision is balanced, the background perception capability of the feature map is enhanced, the detection precision is high, the calculation is simple, and hardware platform transplantation is facilitated.
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Description

technical field

[0001] The invention belongs to the technical field of computer vision, and more specifically relates to a training method of a target detection model and a fast target detection method. Background technique

[0002] In the land battlefield, tanks are the main combat tools. In order to prevent enemy attacks, ambushes, and protect our important personnel and equipment, it is very necessary to detect and alert vehicles such as tanks. The battlefield alert of mobile platform detection and identification equipment can realize all-round reconnaissance and become more intelligent. At present, the existing traditional detection algorithms are computationally complex and difficult to adapt to the complex battlefield environment, while the general deep learning detection algorithms are computationally complex and difficult to achieve real-time detection on mobile platforms.

[0003] The following difficulties exist in the detection and recognition of moving platform ...

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Embodiment Construction

[0048] 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 the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0049] The invention provides a training method of a target detection model, the target detection model includes a feature extraction network and a prediction network, the feature extraction network includes a multi-level feature extraction unit and a target area feature enhancement layer, and at least one group of adjacent feature A target area feature enhancement layer is set between the extra...