Detection model training method and device, target detection method, equipment and medium
A detection model and training method technology, applied in the field of computer vision, can solve the problem of low target detection accuracy, achieve the effect of improving detection performance, improving accuracy, and ensuring accuracy
Pending Publication Date: 2021-02-26
上海眼控科技股份有限公司
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[0004] However, the traditional method of improving the detection performance of anchor-free detection has the problem of low target detection accuracy.
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[0049]In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.
[0050] The training method of the detection model and the target detection method provided in the embodiment of the present application can be applied to such as figure 1 computer equipment shown. The computer device includes a processor and a memory connected through a system bus, and a computer program is stored in the memory. When the processor executes the computer program, the steps of the following method embodiments can be performed. Optionally, the computer device may also include a network interface, a display screen and an input device. Wherein, the processor of...
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The invention relates to a training method and device of a detection model, a target detection method, equipment and a medium. The training method of the detection model comprises the steps of collecting a first image set and a second image set, wherein a first image in the first image set is an image with a target label, and a second image in the second image set is an image without the target label; executing an iterative training operation; iterative training operation: training a preset initial detection model by using the first image set and adopting a supervised learning method to obtaina first initial detection model, and training the first initial detection model by using the first image set and the second image set and adopting an unsupervised comparison representation method toobtain a second initial detection model; and taking the second initial detection model as a new initial detection model, returning to execute iterative training operation, and determining the corresponding second initial detection model when a preset convergence condition is reached as a detection model. By adopting the method, the detection performance of the obtained detection model can be improved.
Description
technical field [0001] The present application relates to the technical field of computer vision, in particular to a detection model training method, device, object detection method, equipment and media. Background technique [0002] Target detection is an important visual perception task. Usually, target detection can be divided into single-stage anchor detection, two-stage anchor detection and single-stage anchor-free detection. Among them, single-stage anchor-free detection is simple to implement and can be compared Fast to learn and deploy, but low detection performance. [0003] In traditional technology, in order to improve the detection performance of anchor-free detection, the model is usually trained on the classification task, thereby obtaining a feature extractor with better performance, and then connecting the corresponding detection module after the feature extractor to achieve target detection . [0004] However, traditional methods to improve the detection p...
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IPC IPC(8): G06K9/62
CPCG06F18/2155G06F18/214
Inventor 束长勇
Owner 上海眼控科技股份有限公司