1. Self-reconstruction network for fine-grained few-shot classification;Li XX;Pattern Recognition,2024
2. Yang, L.F., Li, X., Song, R.J., Zhao, B.R., Tao, J.T., Zhou, S.H., Liang, J.J., Yang, J.: Dynamic mlp for fine-grained image classification by leveraging geographical and temporal information. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 10945–10954 (2022)
3. Jiang, J.J., Chen, Z.W., Lei, F.Y., Xu, L., Huang, J.H., Yuan,X.C.: Multi-Granularity Hypergraph Enhanced Hierarchical Neural Network Framework for Visual Classification. The Visual Computer (2024)
4. Revisiting Local and Global Descriptor-Based Metric Network for Few-Shot SAR Target Classification;Zheng J;IEEE Transactions on Geoscience and Remote Sensing,2024
5. Disentangled feature representation for few-shot image classification;Cheng H;IEEE Transactions on Neural Networks and Learning Systems,2023