Superpixel methods for convolutional neural networks
US9940573B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2017 |
| Grant date | Apr 10, 2018 |
| Priority date | — |
| Expiry date | Mar 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus for efficiently performing a computation of a convolutional neural network layer. One of the methods includes transforming a X by Y by Z input tensor into a X′ by Y′ by Z′ input tensor, wherein X′ is smaller than or equal to X, Y′ is smaller than or equal to Y, and Z′ is larger than or equal to Z; obtaining one or more modified weight matrices, wherein the modified weight matrices operate on the X′ by Y′ by Z′ input tensor to generate a U′ by V′ by W′ output tensor, and the U′ by V′ by W′ output tensor comprises a transformed U by V by W output tensor, wherein U′ is smaller than or equal to U, V′ is smaller than or equal to V, and W′ is larger than or equal to W; and processing the X′ by Y′ by Z′ input tensor using the modified weight matrices to generate the U′ by V′ by W′ output tensor, wherein the U′ by V′ by W′ output tensor comprises the U by V by W output tensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.