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canghaiwuya / Improving-Few-Shot-Learning-Across-Domains-

A novel cross-domain few-shot learning framework leveraging Domain Adaptation Transformer (DAT) and Graph Neural Network (GNN) for improved accuracy in adapting models from a source domain to a target domain, surpassing existing benchmarks on Office and CropDisease datasets.

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Improving-Few-Shot-Learning-Across-Domains-

A novel cross-domain few-shot learning framework leveraging Domain Adaptation Transformer (DAT) and Graph Neural Network (GNN) for improved accuracy in adapting models from a source domain to a target domain, surpassing existing benchmarks on Office and CropDisease datasets.

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A novel cross-domain few-shot learning framework leveraging Domain Adaptation Transformer (DAT) and Graph Neural Network (GNN) for improved accuracy in adapting models from a source domain to a target domain, surpassing existing benchmarks on Office and CropDisease datasets.