YOLO-PRO: Enhancing Instance-Specific Object Detection with Full-Channel Global Self-Attention

Benchmark Model Rank Results
real-time-object-detection-on-coco-val2017YOLO-PRO-L (YOLOv8-based)–box AP: 53.9FPS (batch 1, GPU in brackets): 97 (T4)
real-time-object-detection-on-coco-val2017YOLO-PRO-M (YOLOv8-based)–box AP: 51.6FPS (batch 1, GPU in brackets): 152 (T4)
real-time-object-detection-on-coco-val2017YOLO-PRO-N (YOLOv8-based)–box AP: 38.3FPS (batch 1, GPU in brackets): 654 (T4)
real-time-object-detection-on-coco-val2017YOLO-PRO-S (YOLOv8-based)–box AP: 46.5FPS (batch 1, GPU in brackets): 355 (T4)
real-time-object-detection-on-coco-val2017YOLO-PRO-X (YOLO11-based)–box AP: 55.1FPS (batch 1, GPU in brackets): 75 (T4)
real-time-object-detection-on-coco-val2017YOLO-PRO-X (YOLOv8-based)–box AP: 54.9FPS (batch 1, GPU in brackets): 59 (T4)