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：US20210350168A1

公开(公告)日：2021-11-11

申请号：US17383181

申请日：2021-07-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhi TIAN ,  Tong HE ,  Chunhua SHEN ,  Youliang YAN ,  Songcen XU ,  Yiren ZHOU ,  Xiaofei WU ,  Jianzhuang LIU

IPC: G06K9/62 ,  G06K9/46 ,  G06T3/40 ,  G06K9/34 ,  G06N3/08

Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.