Patent ID: 11914677
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 2, wherein the calling the preset image processing model to perform the category prediction comprises:
calling the second network to perform pooling processing on initial feature maps of the sub-regions according to the label value of the category label, to obtain weights of the sub-regions, each initial feature map comprising initial feature values of pixels in a corresponding sub-region, the weights reflecting the correlations between the sub-regions and the category label, and the weights being directly proportional to the correlations;
obtaining convolution feature maps of the sub-regions, and performing weighting processing on the convolution feature maps of the sub-regions according to the weights of the sub-regions, to obtain weighted feature maps of the sub-regions; and
calling the third network to perform the category prediction on the sample image according to the weighted feature maps of the sub-regions, to obtain the predicted value of the category label.