Patent ID: 11900613
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method according to claim 1, wherein the method is performed by using a target segmentation model, and training operations of the target segmentation model comprises:
obtaining a video frame sample, sample annotation information corresponding to the video frame sample, and standard affine transformation information corresponding to the video frame sample;
inputting the video frame sample into the target segmentation model for training, and determining predicted affine transformation information corresponding to the video frame sample by using the target segmentation model;
constructing an affine loss function according to the predicted affine transformation information and the standard affine transformation information;
outputting predicted affine transformation difference information corresponding to the video frame sample and a predicted segmentation result corresponding to a target in the video frame sample by using the target segmentation model;
determining standard affine transformation difference information according to a difference between the predicted affine transformation information and the standard affine transformation information;
constructing an affine transformation information revision loss function according to the standard affine transformation difference information and the predicted affine transformation difference information;
determining a segmentation loss function according to the predicted segmentation result and the sample annotation information; and
adjusting, according to the affine loss function, the affine transformation information revision loss function, and the segmentation loss function, model parameters of the target segmentation model and continuing training the model until a training stop condition is met.