Yu-Chuan Hu

YOLOv11-EASFF: an improved object detection model with early adaptive spatial feature fusion and structured pruning for railway foreign object intrusion detection

Foreign object intrusion on railways represents a major hazard threatening operational safety. The characteristics of long distance and small size lead to high missed detection rates and poor scene adaptability in existing general-purpose object detection models. To address this, this paper proposes a railway foreign o...