US 12,288,385 B2
Learning device, detection device, learning system, learning method, computer program product for learning, detection method, and computer program product for detecting
Daisuke Kobayashi, Tachikawa (JP)
Assigned to KABUSHIKI KAISHA TOSHIBA, Tokyo (JP)
Filed by KABUSHIKI KAISHA TOSHIBA, Tokyo (JP)
Filed on Aug. 24, 2022, as Appl. No. 17/821,917.
Claims priority of application No. 2022-005860 (JP), filed on Jan. 18, 2022.
Prior Publication US 2023/0230363 A1, Jul. 20, 2023
Int. Cl. G06V 10/776 (2022.01); G06V 10/20 (2022.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/776 (2022.01) [G06V 10/22 (2022.01); G06V 10/255 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)] 23 Claims
OG exemplary drawing
 
1. A learning device comprising:
first processing circuitry configured to:
using learning data including image data and supervised data including a class representing a correct object detection result of an object area included in the image data and position information of the object area in the image data, learn a first object detection network for detecting an object from target image data so as to reduce a first loss between an output of the first object detection network and the supervised data; and
using the image data and self-supervised data generated from the image data, learn the first object detection network so as to reduce a second loss of a feature amount of a corresponding candidate area between the image data and the self-supervised data, the second loss being derived by the first object detection network.