Patent · US Active

Weakly-supervised semantic segmentation with self-guidance

US11657274B2 · kind B2 · utility

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1References

20Claims

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Assignee

Siemens Aktiengesellschaft · DE

Inventors

Kunpeng Li · 东风镇, CN
Ziyan Wu · Lexington, US
Kuan-Chuan Peng · Plainsboro, US
Jan Ernst · Plainsboro, US

Key dates

Filing date	Oct 9, 2018
Grant date	May 23, 2023
Priority date	—
Expiry date	Jan 10, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/045
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems, methods, and computer-readable media are described for performing weakly supervised semantic segmentation of input images that utilizes self-guidance on attention maps during training to cause a guided attention inference network (GAIN) to focus attention on an object in an input image in a holistic manner rather than only on the most discriminative parts of the image. The self-guidance is provided jointly by a classification loss function and an attention mining loss function. Extra supervision can also be provided by using a select number pixel-level labeled input images to enhance the semantic segmentation capabilities of the GAIN.

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