Abstract: Few-shot classification is the task of recognizing unseen classes using a limited number of samples. In this paper, we propose a new contrastive learning method called Feature-Level ...
Abstract: In the realm of medical image segmentation, the U-shaped structure comprising an encoder and a decoder has been demonstrated to be an extremely effective approach. They can be classified ...
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