Table 5 Comparison of different networks on RFRB
From: Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images
Methods | Acc | MAE | rMAE | rMSE | rrMSE | \(R^2\) |
|---|---|---|---|---|---|---|
Faster-Rcnn | 0.6562 | 58.96 | 7.68 | 76.79 | 55.90 | 0.5738 |
YOLOv4 | 0.8700 | 35.15 | 5.92 | 50.83 | 17.96 | 0.8491 |
Centernet | 0.8958 | 26.23 | 5.12 | 33.61 | 13.69 | 0.9472 |
\(TasselNetV2+\) | 0.8984 | 26.58 | 5.16 | 34.72 | 13.09 | 0.9528 |
DM-Count | 0.9014 | 24.43 | 4.94 | 32.38 | 12.99 | 0.9589 |
RapeNet | 0.8981 | 25.31 | 5.03 | 32.73 | 13.21 | 0.9566 |
\(RapeNet+\) | 0.9062 | 23.65 | 4.86 | 29.95 | 12.03 | 0.9635 |