Object positioning model processing method and device, object positioning method and device and computer equipment
A model processing and object technology, applied in the field of image processing, can solve the problem of low positioning accuracy, achieve the effect of reducing inconsistency, improving accuracy, and high classification confidence
Pending Publication Date: 2022-07-19
TENCENT TECH (SHENZHEN) CO LTD
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[0004] In traditional technology, when performing object positioning, the classification network and regression network of the object positioning model are independent of each other, and the area with the highest classification confidence is often not the area with the highest regression accuracy, resulting in low positioning accuracy
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[0064] In order to make the objectives, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0065] Artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to stu...
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The invention relates to an object positioning model processing method and device, computer equipment and a storage medium, and an object positioning method and device, computer equipment and a storage medium. The object positioning model processing method comprises the following steps: determining a regression region based on image features of a training sample image and a regression network of an object positioning model; calculating regression accuracy based on the target object labeling area corresponding to the training sample image, and calculating regression loss based on the regression accuracy; determining classification confidence based on the image features of the training sample image and the classification network of the object positioning model, and calculating classification loss based on the classification confidence; updating classification loss based on regression accuracy, and updating regression loss based on classification confidence; training an object positioning model according to the updated classification loss and the updated regression loss to obtain a trained object positioning model; the trained object positioning model is used for performing object positioning on the input image. By adopting the method, the positioning accuracy can be improved.
Description
[0001] This application claims the priority of the Chinese patent application filed on January 13, 2021, with the application number of 2021100429568 and the application title of "Object Localization Model Processing, Object Localization Method, Apparatus and Computer Equipment", the entire content of which is approved by Reference is incorporated in this application. technical field [0002] The present application relates to the technical field of image processing, and in particular, to an object positioning model processing method, apparatus, computer equipment and storage medium, as well as an object positioning method, apparatus, computer equipment and storage medium. Background technique [0003] With the rapid development of computer technology and image processing technology, more and more fields involve the need to locate target objects in images during image processing, so as to perform subsequent applications according to the located target objects. For example, t...
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IPC IPC(8): G06V10/764G06V10/25G06V10/82G06V10/778G06K9/62G06N3/04G06N3/08
CPCG06F18/2411G06F18/214
Inventor 彭瑾龙蒋正锴罗泽坤王昌安李剑王亚彪汪铖杰李季檩黄飞跃
Owner TENCENT TECH (SHENZHEN) CO LTD