Temporal contrastive learning for semi-supervised video action recognition
US12067082B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Oct 29, 2021 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Jul 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A base pathway of a computerized two-pathway video action recognition model is trained using a plurality of labeled video samples. The base pathway is trained using a plurality of unlabeled video samples at a first framerate. An auxiliary pathway of the computerized two-pathway video action recognition model is trained using a plurality of the unlabeled video samples at a second framerate, the second framerate being slower than the first framerate, wherein the training of the base pathway and the training of the auxiliary pathway result in a trained computerized two-pathway video action recognition model. A candidate video is categorized using the trained computerized two-pathway video action recognition model and the categorized candidate video is stored in a computer-accessible video database system for information retrieval.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.