Patent · US Active

Generative adversarial network for classifying an image by masking and globally pooling a feature map

US12354343B2 · kind B2 · utility

0Cited by

2References

8Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Anna Khoreva · Stuttgart, DE
Vadim Sushko · Stuttgart, DE
Dan Zhang · San Diego, US

Key dates

Filing date	Jul 19, 2022
Grant date	Jul 8, 2025
Priority date	—
Expiry date	Jun 29, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30236
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A generative adversarial network. The generative adversarial network includes: a generator configured for generating an image and a corresponding label map; a discriminator configured for determining a classification of a provided image and a provided label map, wherein the classification characterizes whether the provided image and the provided label map have been generated by the generator or not and determining the classification comprises the steps of: determining a first feature map of the provided image; masking the first feature map according to the provided label map thereby determining a masked feature map; globally pooling the masked feature map thereby determining a feature representation of the provided image masked by the provided label map; determining a classification of the image based on the feature representation.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.