Multiple scenario-oriented item retrieval method and system
US12254667B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 5, 2022 |
| Grant date | Mar 18, 2025 |
| Priority date | — |
| Expiry date | Jul 29, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/761
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A multiple scenario-oriented item retrieval method and system. The method includes the steps of extracting, by Hashing learning, image features from an image training set to train a pre-built item retrieval model; when an image is in a scenario of hard samples, introducing an adaptive similarity matrix, optimizing the similarity matrix by an image transfer matrix, constructing an adaptive similarity matrix objective function in combination with an image category label; constructing a loss quantization objective function between the image and a Hash code according to the image transfer matrix; when the image is in a scenario of zero samples, introducing an asymmetric similarity matrix, constructing an objective function by taking the image category label as supervisory information in combination with equilibrium and decorrelation constraints of the Hash code; and training the item retrieval model based on the above objective function to obtain a retrieved result of a target item image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.