Method and system for an adversarial training using meta-learned initialization
US11687619B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2020 |
| Grant date | Jun 27, 2023 |
| Priority date | — |
| Expiry date | Oct 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-program product storing instructions which, when executed by a computer, cause the computer to receive an input data from a sensor, wherein the input data includes data indicative of an image, wherein the sensor includes a video, radar, LiDAR, sound, sonar, ultrasonic, motion, or thermal imaging sensor, generate an adversarial version of the input data, utilizing a generator, in response to the input data, create a training data set utilizing the input data and the adversarial version of the input data, determine an update direction of a meta model utilizing stochastic gradient respect with respect to an adversarial loss, and determine a cross-entropy based classification loss in response to the input data and classification utilizing a classifier, and update the meta model and the classifier in response to the cross-entropy classification loss utilizing the training data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.