Apparatus for generating training data, a learning method for a target network for generating training data, and a method for generating training data using the target network

A learning method of a target network for generating training data, the method comprising:

• individually learning, by a first network, a second network, and a target network, a first image based on supervised learning;
• performing, by the first network and the second network, ensemble learning on a second image;
• obtaining, by a fusion network, a fusion output value based on ensemble learning results of the first network and the second network;
• and
• learning, by the target network, the second image to imitate the fusion output value.

A method for generating training data, the method comprising:

• individually learning, by a first network, a second network, and a target network, a first image based on supervised learning;
• performing, by the first network and the second network, ensemble learning on a second image based on unsupervised learning;
• obtaining, by a fusion network, a fusion output value based on ensemble learning results of the first network and the second network;
• performing, by the target network, learning such that a result of learning the second image imitates the fusion output value;
• and
• obtaining pseudo label data by learning an image without a ground-truth label based on the target network.