Tiny object detection in remote sensing images is challenged by weak features, spatial detail loss, and extreme sensitivity to localization shifts. To tackle these issues, we propose RAG-Net, a unified detector built upon YOLOv12n. It leverages the Global Relational Context Hub module to reinforce weak features by inte...
Qiang Wang, Rui-Han Bai, Yu Zhou et al.· IEEE Signal Processing Lette...· 0 citations
A frequency-aware and multiscale aligned framework for YOLO-based detectors that improves detection accuracy in most settings and generalizes across aircraft and ship targets is proposed.
Qiang Wang, Rui-Han Bai, Yan Zhang et al.· IEEE Journal of Selected Top...· 0 citations
A complete framework that combines data construction and detection model enhancement, developed by integrating three complementary modules from prior studies, indicates that the proposed method provides a practical solution for complex kitchen anomaly detection and intelligent food-safety monitoring.