2 papers
cs.CV2026
Depth-Enhanced YOLO-SAM2 Detection for Reliable Ballast Insufficiency Identification
Shiyu Liu, Dylan Lester, Husnu Narman +2
This paper presents a depth-enhanced YOLO-SAM2 framework for detecting ballast insufficiency in railway tracks using RGB-D data. Although YOLOv8 provides reliable localization, the…
cs.CV2025
A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos
Dylan Lester, James Gao, Samuel Sutphin +3
Manual labeling for large-scale image and video datasets is often time-intensive, error-prone, and costly, posing a significant barrier to efficient machine learning workflows in f…