Method for fast domain adaptation from perspective projection image domain to omnidirectional image domain in machine perception tasks
US12299837B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 8, 2021 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Mar 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/147
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are disclosed herein for developing a machine perception model in the omnidirectional image domain. The system and method utilize the knowledge distillation process to transfer and adapt knowledge from the perspective projection image domain to the omnidirectional image domain. A teacher model is pre-trained to perform the machine perception task in the perspective projection image. A student model is trained by adapting the pre-existing knowledge of the teacher model from the perspective projection image domain to the omnidirectional image domain. By way of this training, the student model learns to perform the same machine perception task, except in the omnidirectional image domain, using limited or no suitably labeled training data in the omnidirectional image domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.