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A Novel Lightweight Multi-Scale Branching Encoder for Few-Shot Image Classification
Few-Shot Learning (FSL) addresses classification scenarios in which only a small number of labeled examples are available for each class. This paper presents the Sum12 Multi-Scale branching encoder, a lightweight convolutional architecture designed to improve the embedding stage of Prototypical Netw
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