-
公开(公告)号:US20190286937A1
公开(公告)日:2019-09-19
申请号:US16287494
申请日:2019-02-27
Applicant: FUJITSU LIMITED
Inventor: Takashi KATOH , Kento UEMURA , Suguru YASUTOMI
Abstract: A learning device executes learning of a discriminator that discriminates object data to a known class included in training data or an unknown class not included in the training data, using the training data. The learning device then generates a feature value of the unknown class, from a feature value of a plurality of layers of the discriminator, by at least a part of the training data in the layers. The learning device then executes the learning of the discriminator so that a feature value of the known class and the generated feature value of the unknown class are separated.
-
公开(公告)号:US20180349741A1
公开(公告)日:2018-12-06
申请号:US15992754
申请日:2018-05-30
Applicant: FUJITSU LIMITED
Inventor: Suguru YASUTOMI , Toshio Endoh , Takashi Katoh , Kento Uemura
CPC classification number: G06K9/6259 , G06K9/00369 , G06K9/00825 , G06K9/2054 , G06K9/628 , G06N20/00 , G06T7/11
Abstract: An object detection device extracts feature for input data utilizing an encoder, the input data including labeled data and unlabeled data and detects object in each of the input data, utilizing an object detector. The object detection device generates region data for each of the input data, each of the region data corresponding to the detected object and generates restoration data from the region data and meta-information related to the detected object for each of the input data utilizing a decoder corresponding to the encoder. The object detection device executes learning of the encoder and the object detector based on a result detected by the object detector and a label associated with the input data, when the input data is labeled data. The object detection device executes learning of the encoder, the object detector, and the decoder, based on the input data and the restoration data.
-