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

Claim 10:
11. The method according to claim 10, wherein the method further comprises:
determining corresponding optical flow information according to the first video frame sample and the second video frame sample, and determining an optical flow feature map according to the optical flow information and the first sample feature map;
using the optical flow feature map and a second sample feature map as a sample input of a discriminator in the target segmentation model, and classifying the sample input by using the discriminator to obtain a predicted category of the sample input; and
constructing an adversarial loss function according to the predicted category and reference categories corresponding to the sample input;
the determining a segmentation loss function according to the predicted segmentation result and the sample annotation information comprises:
constructing the segmentation loss function according to the optical flow feature map, the second sample feature map, and a reference feature map, the reference feature map being a feature map obtained by performing feature extraction on a target in the second video frame sample; and
the 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 comprises:
adjusting, according to the affine loss function, the affine transformation information revision loss function, the adversarial loss function, and the segmentation loss function, the model parameters of the target segmentation model and continuing training the model until the training stop condition is met.