Table 3 Comparative analysis of the IODAS-IOA model with existing techniques.
Technique | \(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\) | \(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\) | \(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\) | \(\:{\varvec{F}}_{\varvec{s}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\) |
|---|---|---|---|---|
SLAM2 | 94.82 | 90.31 | 91.03 | 96.00 |
YOLOv11 | 97.07 | 91.82 | 93.10 | 96.06 |
RT-DETRv2 | 99.29 | 92.93 | 91.55 | 94.52 |
PointNet++ | 94.13 | 89.74 | 90.34 | 95.56 |
RSNet | 96.38 | 91.13 | 92.39 | 95.49 |
Faster-RCNN | 98.61 | 92.18 | 93.96 | 93.99 |
YOLOv3 | 91.94 | 97.70 | 91.45 | 90.01 |
Sparse RCNN | 91.26 | 93.06 | 89.44 | 94.95 |
YOLOXs | 95.13 | 95.83 | 92.93 | 90.45 |
YOLOv8s | 92.45 | 94.35 | 92.14 | 89.08 |
IODAS-IOA | 99.74 | 98.75 | 94.33 | 96.32 |
