Patent ID: 11972601
Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method for selecting image samples of claim 2, wherein the calculating a feature representation of the first image sample through the first FPN backbone network comprises:
calculating intermediate feature representations of the first image sample based on a bottom-up sub-network of the first FPN backbone network, according to an order of calculation, the intermediate feature representations of the first image sample comprising a first sub-intermediate feature, a second sub-intermediate feature, a third sub-intermediate feature, and a fourth sub-intermediate feature;
performing a dimensionality reduction calculation on the fourth sub-intermediate feature based on a top-down sub-network of the first FPN backbone network to obtain a fourth sub-feature;
performing an up-sampling calculation on the fourth sub-feature according to a size of the third sub-intermediate feature, and performing a unit addition calculation on the third sub-intermediate feature and the up-sampled fourth sub-feature to obtain a third sub-feature;
performing an up-sampling calculation on the third sub-feature according to a size of the second sub-intermediate feature, and performing a unit addition calculation on the second sub-intermediate feature and the up-sampled third sub-feature to obtain a second sub-feature; and
performing an up-sampling calculation on the second sub-feature according to a size of the first sub-intermediate feature, performing a unit addition calculation on the first sub-intermediate feature and the up-sampled second sub-feature to obtain a first sub-feature, and combining the fourth sub-feature, the third sub-feature, the second sub-feature, and the first sub-feature to obtain the feature representation of the first image sample.