Method for training video object detection model using training dataset and learning device using the same
US11869212B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 7, 2023 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Feb 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a video object detection model by using a training dataset is provided, including steps of: a learning device (a) after acquiring a training image (i) inputting the training image and first prior information, set as having probabilities of objects existing in locations in the training image, into the video object detection model, to thereby detect the objects and thus output first object detection information, and (ii) generating second prior information, which includes location information of the objects on the training image; (b) inputting the training image and the second prior information into the video object detection model, to detect the objects on the training and thus output second object detection information; and (c) generating a loss by referring to the second object detection information and a ground truth corresponding to the training image, and train the video object detection model to minimize the loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.