Method and apparatus for adversarial self-supervised learning using target image, and computer-readable storage medium storing instructions to perform method for adversarial meta-learning

An adversarial self-supervised learning apparatus, comprising:

• a memory in which an adversarial self-supervised learning program for training an encoder is stored;
• and
• a processor configured to control the memory,
• wherein the processor, when the adversarial self-supervised learning program is executed, is configured to:
• select a target image of an original image for training from an image group included in a previously collected dataset;
• generate a noise image by combining the original image for training with noise using the original image for training and the target image;
• and
• train the encoder using the noise image and the original image for training,
• wherein the processor is configured to select the target image from the image group based on a similarity between the original image for training and each of a plurality of images included in the image group and an entropy of each of the plurality of images.

A non-transitory computer readable storage medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform an adversarial self-supervised learning method for an encoder, the method comprising:

• 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,
• wherein the selecting of the target image includes selecting the target image from the image group based on a similarity between the original image for training and each of a plurality of images included in the image group and an entropy of each of the plurality of images.