Table 4 Performance evaluation for each object class on RTTS.
Method | Bus | Car | Bicycle | Mcycle | Person | mAP(%) |
|---|---|---|---|---|---|---|
YOLOv8 | 0.604 | 0.837 | 0.616 | 0.676 | 0.780 | 70.3 |
AODNet | 0.616 | 0.828 | 0.579 | 0.683 | 0.775 | 69.6 |
FFANet | 0.621 | 0.840 | 0.595 | 0.679 | 0.783 | 70.3 |
CPAEnhancer | 0.602 | 0.843 | 0.652 | 0.687 | 0.786 | 71.4 |
CDNet | 0.614 | 0.833 | 0.626 | 0.678 | 0.780 | 70.6 |
CF-YOLO | 0.619 | 0.849 | 0.631 | 0.697 | 0.787 | 71.6 |
DR-YOLO | 0.614 | 0.856 | 0.622 | 0.721 | 0.808 | 72.4 |
RDMNet | 0.46 | 0.75 | 0.28 | 0.47 | 0.69 | 53 |
TogetherNet | 0.47 | 0.75 | 0.26 | 0.48 | 0.69 | 52.9 |
Ours | 0.643 | 0.855 | 0.676 | 0.702 | 0.792 | 73.4 |
