Patent ID: 11887354
Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The weakly supervised image semantic segmentation method based on the intra-class discriminator according to claim 1, wherein step S30 comprises:
step S31: calculating a second loss value based on the preliminary pixel-level foreground and background labels Bi,k,c corresponding to all the classes of each image in the training image set, and the training feature image set, and updating a parameter of the feature extraction network based on the second loss value; and
step S32: repeatedly performing step S31 until a set second quantity of times of training is reached, wherein a trained second intra-class discriminator and the accurate pixel-level foreground and background labels corresponding to all the classes of each image in the training image set are obtained.