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Found 3 papers, 2 papers with code
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images
However, it still has some drawbacks in SAR target classification, especially in fine-grained classification of aircraft: aircrafts in SAR images have large intra-class diversity and inter-class similarity; the number of effective samples is insufficient and it's hard to annotate.
A Simple yet Effective Method for Graph Classification
Inspired by structural entropy on graphs, we transform the data sample from graphs to coding trees, which is a simpler but essential structure for graph data.
Structural Optimization Makes Graph Classification Simpler and Better
We then present an implementation of the scheme in a tree kernel and a convolutional network to perform graph classification.
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