公开(公告)号：US20240412480A1

公开(公告)日：2024-12-12

申请号：US18717619

申请日：2022-12-01

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Jie Wu ,  Jie Qin ,  Xuefeng Xiao

IPC: G06V10/26 ,  G06V10/764 ,  G06V10/771 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

Abstract: Provided in the present disclosure are an image segmentation label generation method and apparatus, and an electronic device and a storage medium. The image segmentation label generation method includes: acquiring a feature map of an original image, determining a feature response map of the feature map, wherein a response value in the feature response map represents a weight of a corresponding feature in the feature map in image classification; increasing a response value within a preset range in the feature response map, reconstructing the feature map according to a feature response map with the increased response value; determining a first-class activation mapping based on the first reconstructed feature map, and determining an image segmentation label according to the first-class activation mapping.

公开(公告)号：US20240320966A1

公开(公告)日：2024-09-26

申请号：US18579178

申请日：2022-05-23

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Jie Wu ,  Yuxi Ren ,  Xuefeng Xiao

IPC: G06V10/82 ,  G06V10/77

CPC classification number: G06V10/82 ,  G06V10/7715

Abstract: A method and a device for data processing. The method is adapted to a generative adversarial network obtained by model distillation, and the generative adversarial network includes a first generator, a second generator and a discriminator. The model distillation is a process of alternately training the first generator and the second generator. A model scale of the first generator is smaller than a model scale of the second generator. The method includes: obtaining an image to be processed; and processing the image with a first generator to obtain a processed image.