Methods for training auto labeling device and performing auto labeling related to object detection while performing automatic verification by using uncertainty scores and devices using the same

Abstract

A method for training an auto labeling device performing verification using uncertainty scores of auto-labeled labels is provided. The method includes steps of: a learning device (a) (i) inputting first unlabeled images into a feature pyramid network (FPN) to generate first pyramid feature maps, (ii) allowing an object detection network to generate first bounding boxes, and (iii) training the object detection network and the FPN; (b) (i) allowing the FPN to generate second pyramid feature maps and allowing the object detection network to generate second bounding boxes, (ii) instructing an ROI pooling layer to generate pooled feature maps and inputting the pooled feature maps into at least one of a first classifier to generate first class scores and first box uncertainty scores, and a second classifier to generate second class scores and second box uncertainty scores and (iii) training one of the first classifier and the second classifier.