公开(公告)号：US20230206589A1

公开(公告)日：2023-06-29

申请号：US17739018

申请日：2022-05-06

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Sang Hun PARK

IPC: G06V10/44 ,  G06T7/73 ,  G06V10/82 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06V10/44 ,  G06T7/73 ,  G06V10/82 ,  G06V10/774 ,  G06V10/776 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A method of detecting an object using an object boundary localization uncertainty aware network and an object boundary localization uncertainty attention module may comprise: calculating a convolutional feature from a single image through a convolutional neural network of an existing object detection neural network and then learning a classification and location of an object to detect the object; inputting an obtained localization value and a ground truth value of the object to the object boundary localization uncertainty aware network to learn an object boundary localization uncertainty; calculating, by the object boundary localization uncertainty attention module, an object boundary feature using the obtained object boundary localization uncertainty and training an object detection correction neural network using the object boundary feature; and aggregating an existing object detection result and a correction result to calculate a final object detection result.