SYSTEM AND METHOD FOR REDUCING FALSE POSITIVES IN OBJECT DETECTION FRAMEWORKS

Patent №

US 12,639,937

Granted

2026-05-26

Filed 2023

Owner

CARNEGIE MELLON UNIVERSITY

AI components

0

Assignment

None on record

Dataset

AIPD

Application

18273183

Disclosed herein is a system and method for reducing false positives in object detection frameworks. A human reviews objects detected by the object detection framework and indicates whether the object is an object of a class for which the object detection framework is trained to detect. When an indication of a false positive been received, a feature representation of displayed object is stored in a gallery. During an inference or testing phase, the gallery is searched for a feature representation matching the feature representation of the detected objects, and, if a match is found, the detected object is deemed to be a false positive and is not identified as an object for which the object detection framework has been trained to detect.

G06V 10/7788G06V 10/82G06V 10/757

Ownership

CARNEGIE MELLON UNIVERSITY

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