An In-field Automatic Wheat Disease Diagnosis System J Lu, J Hu, C Zhao, Guannan, Mei, Fenghua, Zhang Computers and Electronics in Agriculture 2017 (142PA), 369-379, 2017 | 369 | 2017 |
Learning from very few samples: A survey J Lu, P Gong, J Ye, C Zhang arXiv preprint arXiv:2009.02653 1, 2020 | 156 | 2020 |
Zero-shot handwritten Chinese character recognition with hierarchical decomposition embedding Z Cao, J Lu, S Cui, C Zhang Pattern Recognition 107, 107488, 2020 | 75 | 2020 |
Robust few-shot learning for user-provided data J Lu, S Jin, J Liang, C Zhang IEEE transactions on neural networks and learning systems 32 (4), 1433-1447, 2020 | 46 | 2020 |
Zero-shot learning by generating pseudo feature representations J Lu, J Li, Z Yan, C Zhang arXiv preprint arXiv:1703.06389, 2017 | 24 | 2017 |
Attribute-Based Synthetic Network (ABS-Net): Learning More From Pseudo Feature Representations J Lu, J Li, Z Yan, F Mei, C Zhang Pattern Recognition 80, Pages 129–142, 2018 | 22 | 2018 |
A survey on machine learning from few samples J Lu, P Gong, J Ye, J Zhang, C Zhang Pattern Recognition 139, 109480, 2023 | 19 | 2023 |
Boosting few-shot image recognition via domain alignment prototypical networks J Lu, Z Cao, K Wu, G Zhang, C Zhang 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 15 | 2018 |
Leaf vein segmentation with self-supervision L Li, W Hu, J Lu, C Zhang Computers and Electronics in Agriculture 203, 107352, 2022 | 7 | 2022 |
Self-reinforcing unsupervised matching J Lu, L Li, C Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4404-4418, 2021 | 4 | 2021 |
A survey on machine learning from few samples J Lu, P Gong, J Ye, J Zhang, C Zhang Pattern Recognition 139 (109480), 2023 | | 2023 |
A Theory of Self-Supervised Framework for Few-Shot Learning Z Cao, J Lu, J Liang, C Zhang | | 2020 |
浅析深度学习在未来水面无人艇平台的应用 钱正芳, 陆江, 孙小帅 中国造船 61 (S01), 6-13, 2020 | | 2020 |