Object recognition method and apparatus based on weakly supervised learning
US10102444B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2016 |
| Grant date | Oct 16, 2018 |
| Priority date | — |
| Expiry date | Feb 24, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are an object recognition method and apparatus which determine an object of interest included in a recognition target image using a trained machine learning model and determine an area in which the object of interest is located in the recognition target image. The object recognition method based on weakly supervised learning, performed by an object recognition apparatus, includes extracting a plurality of feature maps from a training target image given classification results of objects of interest, generating an activation map for each of the objects of interest by accumulating the feature maps, calculating a representative value of each of the objects of interest by aggregating activation values included in a corresponding activation map, determining an error by comparing classification results determined using the representative value of each of the objects of interest with the given classification results and updating a CNN-based object recognition model by back-propagating the error.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.