Systems and methods for color-based outfit classification using semantic embeddings
US12277757B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2022 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Jul 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and method for classifying objects in an image using a color-based neural network. A method may include: training a neural network to classify an object in a given image into a color class from a set of color classes; determining, from the set of color classes, a subset of color classes that are anticipated to be in a received input image based on image metadata; generating a matched mask input indicating the subset; inputting both the input image and the matched mask input into the neural network, wherein the neural network is configured to: determine a first semantic embedding of the input image and the matched mask input; outputting a color class associated with a second semantic embedding with a least amount of distance to the first semantic embedding from a plurality of semantic embeddings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.