Image retrieval model training method and device, image retrieval method and device and medium

Abstract

The embodiment of the invention discloses a training method of an image retrieval model and the image retrieval method. The image retrieval model comprises a neural network module, a hash calculationmodule, a classifier module and a meta-gradient module. The image retrieval model training method comprises the steps: acquiring a training image set, inputting training sample images into a neural network model, and acquiring a first feature vector; calculating a second hash feature vector through a hash calculation module; determining a third classification vector through a classification model;and determining a target updating parameter of the image retrieval model according to the training sample label, the first feature vector, the second hash feature vector and the third classificationvector, and performing parameter updating on the image retrieval model according to the target updating parameter. The embodiment of the invention further discloses a corresponding device, equipment and a storage medium. By adopting the method and the device, the image retrieval accuracy can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an image retrieval model training method, device, device and readable medium as well as an image retrieval method, device, device and readable medium. Background technique [0002] With the development of multimedia information, people have more and more demands for image retrieval, and the accuracy of image retrieval is also getting higher and higher. Traditional image retrieval is mainly based on text description input, and the technology behind it is still the traditional text information retrieval system; while retrieval based on image input can greatly enrich the retrieval scenarios, such as searching for image sources, searching for similar style images, etc. Because the information contained in the image is very rich, compared with the traditional text retrieval method, the image retrieval method has higher complexity and lower retrieval accuracy. Contents of t...

AI Technical Summary

Problems solved by technology

Because the information contained in the image is very rich, compared with the traditional text retrieval method, the image retrieval method has higher complexity and lower retrieval accuracy.

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