| A model for surface defect detection of industrial products based on attention augmentation G Li, R Shao, H Wan, M Zhou, M Li Computational Intelligence and Neuroscience 2022 (1), 9577096, 2022 | 14 | 2022 |
| YOLO-RFF: An industrial defect detection method based on expanded field of feeling and feature fusion G Li, S Zhao, M Zhou, M Li, R Shao, Z Zhang, D Han Electronics 11 (24), 4211, 2022 | 11 | 2022 |
| A Defect Detection Model for Industrial Products Based on Attention and Knowledge Distillation ZK Zhang, ML Zhou, R Shao, M Li, G Li Computational Intelligence and Neuroscience 2022 (1), 6174255, 2022 | 6 | 2022 |
| AAL-Net: A Lightweight Detection Method for Road Surface Defects Based on Attention and Data Augmentation C Zhang, G Li, Z Zhang, R Shao, M Li, D Han, M Zhou Applied Sciences 13 (3), 1435, 2023 | 4 | 2023 |
| TD-Net: tiny defect detection network for industrial products R Shao, M Zhou, M Li, D Han, G Li Complex & Intelligent Systems, 1-12, 2024 | 1 | 2024 |
| 重新思考工业微小缺陷检测中的掩模降采样和回归损失函数 李刚， 邵瑞， 李敏， 万洪林， 周鸣乐， 韩德隆 计算机辅助设计与图形学学报, 1-10, 2024 | | 2024 |
| Rethinking interactive networks and regression loss functions for industrial defect detection Z Su, M Zhou, H Wan, M Li, Z Zhang, D Han, R Shao, G Li Journal of King Saud University-Computer and Information Sciences 35 (9), 101756, 2023 | | 2023 |
| 基于注意力的轻量级工业产品缺陷检测网络 李刚， 邵瑞， 周鸣乐， 李敏， 万洪林 计算机工程 49 (11), 275-283, 2023 | | 2023 |
