Simultaneous object localization and attribute classification using multitask deep neural networks
US11087130B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 26, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | May 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30242
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are disclosed for simultaneous object localization and attribute classification using multitask deep neural networks. In an embodiment, a method comprises: obtaining, by a processing circuit, an image from an image capture device in an environment, the image including a target object in the environment; generating, by the processing circuit, predictions from the image for the target object using a multitask deep neural network, the multitask deep neural network including a network trunk and side branches, the network trunk configured for multi-scale feature extraction guided by supervision information provided by the side branches during training of the multitask deep neural network, the side branches configured as learning task-specific classifiers; and using, by the processing circuit, the predictions to localize the target object in the environment and to classify the target object and at least one attribute of the target object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.