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Introduction Human exhibits a strong ability to understand concepts quickly in real life. We can perceive and recognize the variation of the objects easily based on prior knowledge, deductive reasoning. Therefore, we are trying to transfer this idea and get them implemented on the machine learning system. However, conventional machine
Introduction In the conventional supervised machine learning system, a huge amount of labeled data and many iterations of training are required to train the model’s parameters. This has severely limited their scalability and versatility to adapt to new classes due to annotation costs. Therefore, the authors proposed their method