Target detection method, electronic equipment and storage medium

A target detection and target prediction technology, applied in the field of target detection, can solve problems such as low accuracy and poor detection effect, and achieve the effect of improving accuracy, improving detection effect, and avoiding overfitting.

Pending Publication Date: 2021-06-04
共达地创新技术(深圳)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in fine-grained target detection, due to the overfitting between non-background features in training samples, the accuracy of fine-grained target detection is low, and there is a problem of poor detection effect.

Method used

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  • Target detection method, electronic equipment and storage medium
  • Target detection method, electronic equipment and storage medium
  • Target detection method, electronic equipment and storage medium

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0023] The flowcharts shown in the figures are for illustration only, and do not necessarily include all contents and operations / steps, nor do they have to be performed in the order described. For example, some operations / steps can also be decomposed, combined or partially combined, so the actual execution order may be changed according to the actual situation.

[0024] Before describing the target detection method provided by the embo...

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Abstract

The invention provides a target detection method, an electronic device and a storage medium, a target image is identified through a pre-trained fine-grained target detection model, and the training process of the pre-trained fine-grained target detection model is obtained by retraining a preset target detection model based on an interval loss function. the interval loss function is determined based on the learning interval between the preset fine-grained categories and the loss function of the preset target detection model, and the learning interval between the preset fine-grained categories enables the loss function of the preset target detection model not to pursue learning of the difference characteristics of each instance in the training sample in the model retraining process; therefore, the model complexity of the preset target detection model in the retraining process is not higher than that of an actual model. Therefore, an over-fitting phenomenon in a fine-grained recognition scene can be effectively avoided, and the accuracy of target detection can be improved.

Description

technical field [0001] The present application relates to the technical field of target detection, and in particular, to a target detection method, an electronic device and a storage medium. Background technique [0002] Common object detection is divided into coarse-grained object detection and fine-grained object detection. Among them, coarse-grained object detection refers to the detection of objects in different categories, while fine-grained object detection refers to the detection of different instances within the same category. For example, the detection of different categories of animals such as cats, dogs, and birds is coarse-grained object detection, while the detection of different instances within the same animal category, such as dog categories, such as border collies, poodles, huskies, etc., is fine-grained Target Detection. At present, in fine-grained target detection, due to the overfitting between non-background features in training samples, the accuracy o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/73G06N3/04G06N3/08
CPCG06T7/73G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06V2201/07G06N3/047G06N3/048G06F18/2415G06F18/214
Inventor 豆泽阳吴招乐蒋阳
Owner 共达地创新技术(深圳)有限公司
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