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

Claim 4:
5. The method for selecting image samples of claim 1, wherein the training the score prediction model with the plurality of third image samples comprises:
for each third image sample of the plurality of third image samples, inputting the third image sample into the second FPN backbone network, and calculating a feature representation of the third image sample through the second FPN backbone network;
inputting the feature representation of the third image sample into the second region generation network, and generating an interesting region of the third image sample through the second region generation network;
inputting the interesting region of the third image sample into the score prediction network, and performing a score prediction on the interesting region of the third image sample through the score prediction network to obtain a classification score, a box score, a mask score, and an instances number score, the third image sample comprises a classification labeling score, a box labeling score, a mask labeling score, and an instance number labeling score; and
optimizing parameters of the score prediction network based on a backpropagation algorithm, according to the classification score and the classification labeling score, the box score and the box labeling score, the mask score and the mask labeling score, and the instance number score and the instance number labeling score.