Systems and methods for determining new roads on a map

    公开(公告)号:US11293763B2

    公开(公告)日:2022-04-05

    申请号:US16894771

    申请日:2020-06-06

    摘要: A method configured to implemented on at least one map processing device for determining new roads on a map includes obtaining a first road network image of a region, the first road network image including a first plurality of roads. The method also includes determining a second road network image of the region based on a map of the region, the second road network image including a second plurality of roads that are not present in the first road network image. The method further includes determining a third road network image by concatenating the first road network image and the second road network image. The method still further includes determining a fourth road network image of the region by processing the third road network with at least one convolution layer, the fourth road network including the second plurality of roads.

    MACHINE LEARNING SYSTEMS AND METHODS WITH SOURCE-TARGET ADAPTATION

    公开(公告)号:US20210295208A1

    公开(公告)日:2021-09-23

    申请号:US16826084

    申请日:2020-03-20

    IPC分类号: G06N20/00 G06K9/62

    摘要: Embodiments of the disclosure provide systems and methods for domain adaptation between a plurality of source domains and a target domain. The artificial intelligence method includes receiving labeled data from the plurality of source domains and unlabeled data from the target domain. The method further includes separately training, by a processor, a plurality of source classifiers each corresponding to a source domain using the labeled data received from the respective source domains. The method also includes selecting a subset of the labeled data received from each source domain based on a similarity between the selected labeled data and the unlabeled data of the target domain. The method additionally includes refining, by the processor, each source classifier using the selected subset of the labeled data, and predicting labels of the unlabeled data using the refined source classifiers.