Patent ID: 11861829
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 1, wherein:
the N basic feature maps comprise A low-level feature maps and B high-level feature maps;
A=3, B=3, and M=3; and
the merging the features of the N basic feature maps of the slice by the deep neural network, to obtain the M enhanced feature maps of the slice comprises:
performing, by the device, convolution processing on a third low-level feature map of the slice, to obtain a first high-level feature map of the slice as a first enhanced feature map,
performing, by the device, convolution processing on a second low-level feature map of the slice; upsampling the first high-level feature map of the slice; and adding a feature map obtained by the convolution processing on the second low-level feature map and a feature map obtained by the upsampling of the first high-level feature map, to obtain a second high-level feature map of the slice as a second enhanced feature map, and
performing, by the device, convolution processing on a first low-level feature map of the slice; upsampling the second high-level feature map of the slice; and adding a feature map obtained by performing the convolution processing on the first low-level feature map and a feature map obtained by the upsampling of the second high-level feature map, to obtain a third high-level feature map of the slice as a third enhanced feature map.