In real applications. it is necessary to classify new unseen classes that cannot be acquired in training datasets. To solve this problem. few-shot learning methods are usually adopted to recognize new categories with only a few (out-of-bag) labeled samples together with the known classes available in the (large-scale) training dataset. https://themightyhobbyers.shop/product-category/plush/