Learning method and learning device for adjusting parameters of CNN by using loss augmentation and testing method and testing device using the same
US10169679B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2017 |
| Grant date | Jan 1, 2019 |
| Priority date | — |
| Expiry date | Oct 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning method for adjusting parameters of a CNN using loss augmentation is provided. The method includes steps of: a learning device acquiring (a) a feature map from a training image; (b) (i) proposal ROIs corresponding to an object using an RPN, and a first pooled feature map by pooling areas, on the feature map, corresponding to the proposal ROIs, and (ii) a GT ROI, on the training image, corresponding to the object, and a second pooled feature map by pooling an area, on the feature map, corresponding to the GT ROI; and (c) (i) information on pixel data of a first bounding box when the first and second pooled feature maps are inputted into an FC layer, (ii) comparative data between the information on the pixel data of the first bounding box and a GT bounding box, and backpropagating information on the comparative data to adjust the parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.