Method and apparatus for neural network training and construction and method and apparatus for object detection
US10769493B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 26, 2017 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Jun 1, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The embodiments of the present invention provide training and construction methods and apparatus of a neural network for object detection, an object detection method and apparatus based on a neural network and a neural network. The training method of the neural network for object detection, comprises: inputting a training image including a training object to the neural network to obtain a predicted bounding box of the training object; acquiring a first loss function according to a ratio of the intersection area to the union area of the predicted bounding box and a true bounding box, the true bounding box being a bounding box of the training object marked in advance in the training image; and adjusting parameters of the neural network by utilizing at least the first loss function to train the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.