Transposed convolution on downsampled data
US12299840B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 9, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Aug 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present subject matter provides technical solutions facing technical problems associated with preserving spatial dimension of images used in CNNs. Transposed convolutional layers may be used to provide improved spatial dimension preservation or reconstruction. In contrast with image interpolation, transposed convolutional layers may use a set of weights to reconstruct input images. When using CNNs for ADAS and AV applications, the transposed convolutional layers may be trained jointly with convolutional layers during the CNN training process. This may provide the ability to use a lower-dimensional representation of input images, while preserving the spatial dimension of images for use in ADAS and AV systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.