Dong-Ling Jing

SAVPEF-Net: Symmetric Semantic–Visual Prompt Fusion for Fine-Grained Open-World Object Detection in Intelligent Transportation

Open-world object detection is a key visual support technology for smart-city transportation. Most existing methods are trained on closed-set datasets and recognize only predefined traffic categories. For unknown traffic participants and sudden obstacles in complex scenes, they suffer severe false/missed detection and...