Cluster-HGNN: Deep Local Features Clustering for Few-Shot Image Classification With Hybrid Graph Neural Networks
Graph neural networks (GNNs) have shown great promise in 5 Piece King Sleigh Bedroom few-shot learning, where they typically represent the entire feature of a sample as a node.However, this approach can overlook finer details within the sample, as GNNs usually measure the distance between nodes to determine overall differences, making them prone to