Table 3 Performance comparison of different object detection models on the PLoPy dataset.
From: ScaleMamba-YOLO: a multi-scale MambaYOLO for medical object detection
Model | AP | AP50 | AP75 | APs | APm | APl |
|---|---|---|---|---|---|---|
FASTER_RCNN33 | 77.5 | 98.9 | 92.7 | 67.0 | 70.9 | 80.6 |
DINO18 | 80.8 | 98.7 | 94.1 | 65.3 | 73.0 | 83.7 |
RT_DETR20 | 85.0 | 99.0 | 96.7 | 69.1 | 78.6 | 87.7 |
YOLOv834 | 84.1 | 98.6 | 96.8 | 70.0 | 77.5 | 86.7 |
YOLOv935 | 83.9 | 98.9 | 96.3 | 69.8 | 77.1 | 86.7 |
YOLOv1036 | 84.3 | 98.8 | 96.8 | 69.4 | 77.8 | 86.9 |
YOLOv1137 | 84.0 | 98.8 | 96.8 | 70.1 | 77.9 | 86.4 |
MambaYOLO30 | 84.0 | 98.7 | 96.3 | 71.2 | 77.6 | 86.5 |
ScaleMamba-YOLO | 85.7 | 99.0 | 97.3 | 72.2 | 79.1 | 88.1 |
