Accurate Rail Surface Defect Segmentation: Combining High-Level Semantics and Low-Level Details

In order to accurately segment rail surface defects, it is essential to simultaneously extract and combine high-level semantic information with low-level detail features. This approach allows for a comprehensive understanding of the defect characteristics, leading to improved detection and classification. By integrating both types of information, we can effectively distinguish between different defect types and their severity levels. This paper discusses the importance of this integrated approach and explores various techniques for extracting and combining high-level and low-level features in the context of rail surface defect segmentation.