Table 4.
The comparison of outcomes attained by the proposed CAUC model and other state-of-the-art models in the Multi-weed segmentation.
| Model name | Validation time | Test time | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | L | P | R | FS | MIoU | A | L | P | R | FS | MIoU | |
| % | % | % | % | % | % | % | % | % | % | % | % | |
| SegNet512[23] | 97.46 | 6.25 | 97.62 | 97.32 | 97.46 | 78.42 | 95.81 | 18.69 | 95.98 | 95.68 | 95.82 | 75.23 |
| UNet [7] | 98.85 | 4.18 | 98.88 | 98.82 | 98.84 | 80.05 | 96.89 | 19.02 | 97.01 | 96.79 | 96.89 | 78.52 |
| RRUDC [7] | 97.76 | 4.62 | 97.78 | 97.74 | 97.76 | 79.52 | 95.92 | 8.52 | 96.01 | 95.84 | 95.92 | 77.25 |
| DeepLabV3+ | 99.02 | 3.65 | 99.06 | 98.99 | 99.02 | 81.11 | 97.09 | 5.6 | 97.27 | 96.97 | 97.11 | 80.61 |
| UNet++ | 99.22 | 2.5 | 99.25 | 99.20 | 99.22 | 81.55 | 97.35 | 5.7 | 97.41 | 97.30 | 97.35 | 80.85 |
| Proposed CAUC | 99.09 | 2.77 | 99.11 | 99.02 | 99.06 | 81.02 | 97.50 | 7.85 | 97.14 | 96.9 | 97.02 | 80.2 |