Conditional object-centric learning with slot attention for video and other sequential data
US12417623B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2022 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Dec 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/7747
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining first feature vectors and second feature vectors representing contents of a first and second image frame, respectively, of an input video. The method may also include generating, based on the first feature vectors, first slot vectors, where each slot vector represents attributes of a corresponding entity as represented in the first image frame, and generating, based on the first slot vectors, predicted slot vectors including a corresponding predicted slot vector that represents a transition of the attributes of the corresponding entity from the first to the second image frame. The method may additionally include generating, based on the predicted slot vectors and the second feature vectors, second slot vectors including a corresponding slot vector that represents the attributes of the corresponding entity as represented in the second image frame, and determining an output based on the predicted slot vectors or the second slot vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.