Cluster-HGNN: Deep Local Features Clustering for Few-Shot Image Classification With Hybrid Graph Neural Networks

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 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 difference...

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Bibliographic Details
Main Authors: Hongxuan Wu, Like Xin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
deep local features
few-shot image classification
graph neural network
Online Access:https://ieeexplore.ieee.org/document/10870346/

Internet

https://ieeexplore.ieee.org/document/10870346/

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