公开(公告)号：US20240412488A1

公开(公告)日：2024-12-12

申请号：US18485377

申请日：2023-10-12

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sung Ju HWANG ,  Minseon KIM ,  Hyeonjeong HA ,  Sooel SON

IPC: G06V10/774 ,  G06F16/532 ,  G06V10/74 ,  G06V10/764

Abstract: In accordance with an aspect of the present disclosure, there is provided an adversarial self-supervised learning method for an encoder. The method comprises selecting a target image of an original image for training from an image group included in a previously collected dataset; generating a noise image by combining the original image for training with noise using the original image for training and the target image; and training the encoder using the noise image and the original image for training.

公开(公告)号：US20240412077A1

公开(公告)日：2024-12-12

申请号：US18486183

申请日：2023-10-13

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sung Ju HWANG ,  Minseon KIM ,  Hyeonjeong HA

IPC: G06N3/0985 ,  G06N3/094

Abstract: There is provided an adversarial meta-learning method. The method comprises: transforming an obtained original image for learning to generate a first transformed image and a second transformed image; generating a first vector from the first transformed image using the first encoder; generating a second vector from the second transformed image using the second encoder; generating a first noise image and a second noise image by adding noise for adversarial attack to the original image for learning using the first vector, the second vector, and the original image for learning; and repeating obtaining at least one of the first noise image or the second noise image as the original image for learning and generating the first transformed image and the second transformed image.