Online knowledge distillation for multi-task learning system, method, device, and program
US12346813B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Oct 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system, apparatus, and non-transitory computer-readable medium for image processing using a multi-task neural network framework may be provided. The method be executed by one or more processors, and may include receiving an input image; and generating one or more image patches based on the input image. The method may include performing an image processing task based on the input image using the multi-task neural network framework, wherein the multi-task neural network framework is trained using an adaptive feature distillation function, and wherein the adaptive feature distillation function is based on a comparison of intermediate features of the multi-task neural network framework and intermediate features of a plurality of single-task neural network models. The method may include generating an output of the image processing task based on up sampling an output of the multi-task neural network framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.