The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 08, 2020

Filed:

Aug. 31, 2017
Applicant:

Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA (US);

Inventors:

Teng-Yok Lee, Cambridge, MA (US);

Chieh-Chi Kao, Goleta, CA (US);

Pradeep Sen, Goleta, CA (US);

Ming-Yu Liu, Cambridge, MA (US);

Attorneys:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/70 (2017.01); G06K 9/46 (2006.01); G06K 9/72 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6263 (2013.01); G06K 9/4604 (2013.01); G06K 9/6259 (2013.01); G06K 9/6262 (2013.01); G06K 9/6264 (2013.01); G06K 9/6269 (2013.01); G06K 9/6277 (2013.01); G06K 9/726 (2013.01); G06T 7/70 (2017.01);
Abstract

System and method for an active learning system including a sensor obtains data from a scene including a set of images having objects. A memory to store active learning data including an object detector trained for detecting objects in images. A processor in communication with the memory, is configured to detect a semantic class and a location of at least one object in an image selected from the set of images using the object detector to produce a detection metric as a combination of an uncertainty of the object detector about the semantic class of the object in the image (classification) and an uncertainty of the object detector about the location of the object in the image (localization). Using an output interface or a display type device, in communication with the processor, to display the image for human labeling when the detection metric is above a threshold.


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