Face detection training method and apparatus, and electronic device
US11594070B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2020 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | May 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/172
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An object detection training method can include receiving a training sample set in a current iteration of an object detection training process over an object detection neural network. The training sample set can include first samples of a first class and second samples of a second class. A first center loss value of each of the first and second samples can be determined. The first center loss value can be a distance between a feature vector of the respective sample and a center feature vector of the first or second class which the respective sample belongs to. A second center loss value of the training sample set can be determined according to the first center loss values of the first and second samples. A first target loss value of the current iteration can be determined according to the second center loss value of the training sample set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.