Research Topics - Meng Lab.
Dataset
  1. Y. Fujikawa, L. Meng, et al., " OBI dataset for IJDH and OBI recognition application," [download]
  2. X.B Yue, L. Meng, et al., Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition, " OBI125," [download] " Oracle-50K-125,"[download] Code,"[download]
  3. X.B Yue, L. Meng, et al., " Dish-20," [download]
  4. X.B Yue, L. Meng., YOLO-SM: a Lightweight Single-class Multi-deformation Object Detection Network " Code ," [download]
  5. X.B Yue, Z.M Wang, R. Ishibashi, H. Kaneko, L. Meng., An Unsupervised Automatic Organization Method for Professor Shirakawa’s Hand-Notated Documents of Oracle Bone Inscriptions " Code ," [download] NOTE: please fell free to contact menglin@fc.ritsumei.ac.jp.
  6. S.Y Geng, J.T Chen, A.H Wang, X.B Yue, L. Meng. YOLO-CF: An Object Detection Model that Improves Feature Expression at Both Coarse-Grained and Fine-Grained Levels for Industrial Surface Image Defect Detection "Code,"[download]
  7. M.T Wang, Z.Y Liu, H. Furukawa, Z. Li, Y.F Ge, Y.F Xu, Z. Qiu, Y. Tian, Z.K Wang, R. Xu, L. Meng. Fast Reverse Design of 4D-printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm "Code,"[download]
  8. Y.F Ge, Z. Li, L. Meng. YOLO-MSD: A Robust Industrial Surface Defect Detection Model via Multi-scale Feature Fusion "Code,"[download]
Web Application
  1. Meng LAB. " OBI and Kuzushiji recognition applications ,"