[Python] How to implement the code for Foreign Object Debris Detection for Airport Pavement...

I recently read the paper "Foreign Object Debris Detection for Airport Pavement Images Based on Image Random Masking and Semantic Feature Matching" authored by Ying Jing, Hong Zheng, and Wentao Zheng. The paper presents a method for detecting foreign object debris (FOD) on airport pavements using an innovative approach that integrates multi-scale structural grid masking with semantic feature matching. The method includes reconstruction with image masking, semantic feature matching using a discriminator, and multi-scale aggregated inference for anomaly detection.

However, I could not find the source code or implementation details in the paper or its supplementary materials. I am interested in replicating the results and would appreciate any guidance on:

Whether the authors have shared the code elsewhere. Any existing resources, repositories, or advice on implementing the proposed method. Thank you for your help!

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