Systems and methods for performing segmentation based on tensor inputs
US11941813B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 18, 2020 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | Jun 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example system for performing segmentation of data based on tensor inputs includes memory storing computer-executable instructions defining a learning network, where the learning network includes a plurality of sequential encoder down-sampling blocks. A processor is configured to execute the computer-executable instructions to receive a multi-dimensional input tensor including at least a first dimension, a second dimension and a plurality of channels. The processor is also configured to process the received multi-dimensional input tensor by passing the received multi-dimensional input tensor through the plurality of sequential encoder down-sampling blocks of the learning network, and to generate an output tensor in response to processing the received multi-dimensional input tensor. The output tensor includes at least one segmentation classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.