公开(公告)号：US20220335619A1

公开(公告)日：2022-10-20

申请号：US17853799

申请日：2022-06-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kunyang SUN ,  Hao CHEN ,  Chunhua SHEN ,  Youliang YAN ,  Bin SHAO ,  Songcen XU

IPC: G06T7/12 ,  G06T3/40

Abstract: An instance segmentation method and apparatus are provided. A to-be-trained segmentation network performs the following processing on each instance group that is in a sample original image and that is of pixels of a marked instance, where each instance group includes at least one marked instance, and the processing includes: predicting at least two different first basic feature maps and a first attention feature map corresponding to each first basic feature map; performing weighted processing on the at least two first basic feature maps and pixel values of respective first attention feature maps corresponding to the at least two first basic feature maps, to obtain a first feature fusion map; and training the to-be-trained segmentation network based on the first feature fusion map and the sample original image. A segmentation model can precisely determine pixels of an instance in an original image.

公开(公告)号：US20210358523A1

公开(公告)日：2021-11-18

申请号：US17388386

申请日：2021-07-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xueyi ZOU ,  Yiren ZHOU ,  Songcen XU ,  Jianzhuang LIU ,  Youliang YAN

IPC: G11B27/031 ,  G06T7/246 ,  G06K9/62

Abstract: An image processing method. The method includes: An electronic device obtains N images, where the N images have a same quantity of pixels and a same pixel location arrangement, and N is an integer greater than 1; the electronic device obtains, based on feature values of pixels located at a same location in the N images, a reference value of the corresponding location; the electronic device determines a target pixel of each location based on a reference value of the location; and the electronic device generates a target image based on the target pixel of each location.