Learned deconvolutional upsampling decoding layer
US12175764B1 · kind B1 · utility
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Key dates
| Filing date | Nov 30, 2021 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Jan 27, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2520/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for performing deconvolution operations on data structures representing condensed sensor data are disclosed herein. Autonomous vehicle sensors can capture data in an environment that may include one or more objects. The sensor data may be processed by a convolutional neural network to generate condensed sensor data. The condensed sensor data may be processed by one or more deconvolution layers using a machine-learned upsampling transformation to generate an output data structure for improved object detection, classification, and/or other processing operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.