Methods, devices, and computer readable media for training a keypoint estimation network using cGAN-based data augmentation
US12430905B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 11, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Apr 3, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/11
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method and devices for training a keypoint estimation network are described. In each training iteration, synthetic images are generated by a generator, each synthetic image being assigned respective assigned keypoints by the generator. Using a prior-iteration of the keypoint estimation network, a set of predicted keypoints is obtained for each synthetic image. Based on an error score between the predicted keypoints and the assigned keypoints, poor quality synthetic images are discarded. The remaining synthetic images, together with real world images, are used to train an updated keypoint estimation network. The performance of the updated keypoint estimation network is validated, and the training iterations are performed until a convergence criteria is satisfied.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.