2020年到2023年深度学习掌纹分类方法有什么，至少10个

以下是一些2020年到2023年深度学习掌纹分类方法的例子：

1. "Palmprint recognition using deep learning with attention mechanism" - 2020年
2. "Palmprint recognition with deep learning using variational autoencoder" - 2020年
3. "Palmprint recognition using deep learning with capsule networks" - 2020年
4. "Palmprint recognition using deep learning with graph convolutional neural networks" - 2020年
5. "Palmprint recognition using deep learning with residual attention networks" - 2021年
6. "Palmprint recognition using deep learning with adversarial training" - 2021年
7. "Palmprint recognition using deep learning with self-attention mechanism" - 2021年
8. "Palmprint recognition using deep learning with transfer learning and meta-learning" - 2022年
9. "Palmprint recognition using deep learning with graph neural networks and graph attention networks" - 2023年
10. "Palmprint recognition using deep learning with ensemble learning and knowledge distillation" - 2023年

这些方法主要利用了注意力机制、图神经网络、自注意力机制、元学习、集成学习等技术，进一步提高了掌纹识别的准确性和鲁棒性。值得注意的是，这些方法大多尚处于研究阶段，需要进一步的实验和应用验证。