D-FINE is a powerful real-time object detection model that redefines the bounding box regression task in DETRs as fine-grained distribution refinement (FDR) and introduces Global Optimal Localization Self-Distillation (GO-LSD). It achieves outstanding performance without incurring additional inference and training costs. Developed by researchers from the Chinese Academy of Sciences, the model aims to enhance the accuracy and efficiency of object detection.