Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning

arXiv:2405.03109v1 Announce Type: new
Abstract: Humans possess remarkable ability to accurately classify new, unseen images after being exposed to only a few examples. Such ability stems from their capacity to identify common features shared between new and previously seen images while disregarding distractions such as background variations. However, for artificial neural network models, determining the most relevant features for distinguishing between two images with limited samples presents a challenge. In this paper, we propose an intra-task mutual attention method for …

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