Selective state-space modeling for real-time object detection in intelligent transportation: a systematic literature review
Real-time object detection is a cornerstone of intelligent transportation systems, where the YOLO (You Only Look Once) family has long defined the accuracy–speed trade-off. The emergence of Mamba—a selective state-space model that captures long-range dependencies in linear time—has triggered a wave of research embedd...