Target identification model training and target identification method and device, and computing equipment

A technology for target recognition and model training, which is applied in the field of computer vision and can solve time-consuming problems

Active Publication Date: 2017-03-22
BEIJING SENSETIME TECH DEV CO LTD
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Problems solved by technology

The target recognition problem is usually very time-consuming because it is necessary to label the positions of all objects in the image
According to the practical experience of common methods, it usually takes 5-8 minutes to obtain an accurate target recognition label with a size of 400*600 pixels

Method used

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  • Target identification model training and target identification method and device, and computing equipment
  • Target identification model training and target identification method and device, and computing equipment
  • Target identification model training and target identification method and device, and computing equipment

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Embodiment Construction

[0076] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0077] In the field of computer vision technology, in order to achieve accurate recognition of objects in images, images are often disassembled into multiple local candidate regions for understanding and learning. The principle of dismantling is to be able to cover as many objects of different sizes in the image as possible; each local candidate area can cover a part of the object, and does not have to completely contain the object,...

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Abstract

The invention discloses a target identification model training method, a target identification model training device, a target identification method, a target identification device and computing equipment, which belong to the technical field of computer vision. The target identification model training method comprises the steps of: inputting a plurality of local candidate regions selected for a training image into a target identification model, so as to obtain a preliminary result of classification of the plurality of local candidate regions output by the target identification model; performing local candidate region integration according to weak supervisory information and the preliminary result of classification of the plurality of local candidate regions; correcting parameters of the target identification model according to the preliminary result of classification of the plurality of local candidate regions and a result of local candidate region integration; and iteratively executing the training steps till a training result of the target identification model satisfies a predetermined convergence condition. The target identification model training method, the target identification model training device, the target identification method, the target identification device and the computing equipment can perform direct supervision of pixel level, can optimize a semantic segmentation model in an end-to-end manner, and can improve the result of target identification according to judgment of the local candidate regions.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a target recognition model training and target recognition method and device, and computing equipment. Background technique [0002] Object recognition is a classic problem in the field of computer vision, where the purpose is to predict the location of a given object in an input image. A good object recognition scheme relies on the object category of each pixel to achieve accurate and dense image pixel-level understanding. The object recognition problem is usually very time-consuming because of the need to label the positions of all objects in the image. According to the practical experience of common methods, it usually takes 5-8 minutes to obtain an accurate target recognition label with a size of 400*600 pixels. Therefore, the speed and quality of data annotation has become an important issue that restricts the problem from obtaining big data support and further dev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2321G06F18/2134G06F18/213G06F18/23G06F18/214
Inventor 石建萍
Owner BEIJING SENSETIME TECH DEV CO LTD
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