Neural network training method and apparatus for image retrieval, and electronic device
US12008803B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2020 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Aug 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/774
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network training method and apparatus for image retrieval, and an electronic device are provided. A neural network includes: one feature extractor and a plurality of learners. The method includes: for each training image group, inputting three images of the training image group into the feature extractor, and determining features of the three images; for each image in each training image group, respectively multiplying the features of the image by a random weight corresponding to each learner, so as to obtain weighted features corresponding to each learner; for each image in each training image group, inputting the weighted features of the image corresponding to each learner into the corresponding learner, and determining a plurality of feature vectors of the image; and adjusting parameters of the neural network on based on the plurality of feature vectors of each image in a plurality of training image groups.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.