Method, artificial neural network, device, computer program and machine-readable memory medium for the semantic segmentation of image data
US11100358B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2019 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Feb 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for the calculation resource-saving semantic segmentation of image data of an imaging sensor with an artificial neural network, in particular, of a convolutional neural network, the artificial neural network including an encoder path, a decoder path (and a skip component), including: initial connection (merge) of an input tensor to a skip tensor with an initial connection (merge) function/connection instruction to obtain a merged tensor, the input tensor and the skip tensor being dependent on the image data; application of a function of a neural network, in particular, of a convolution to the merged tensor to obtain a proof reader tensor; second connection (merge) of the proof reader tensor to the input tensor with a second connection (merge) function/connection instruction to obtain an output tensor; outputting the output tensor to the decoder path of the artificial neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.