FedAttn: Communication-Efficient and Privacy-Resilient Federated Vision Transformers for Industrial Defect Detection
This repository contains the supplementary materials for the paper FedAttn.
| File | Description |
|---|---|
SupplementaryRN.docx |
Supplementary material document |
codes.rar |
Full source code |
csv_results.rar |
Experimental results in CSV format |
figures.rar |
All figures used in the paper |
Datasets Information.txt |
Dataset sources and access instructions |
- MVTec AD: https://www.mvtec.com/company/research/datasets/mvtec-ad
- NEU Surface Defects: http://faculty.neu.edu.cn/yunhyan/NEU_surface_defect_database.html
- Wood Veneers: Proprietary — contact corresponding author
For dataset access or questions, please open an issue or contact the corresponding author.