| hyperspectral-semantic-segmentation-on-hsi-drive-v2-0 | RU-Net | #1 | Accuracy: 96.08Average Accuracy: 79.82Avg. F1: 82.34… |
| hyperspectral-semantic-segmentation-on-hsi-drive-v2-0 | U-Net | #2 | Accuracy: 94.95Average Accuracy: 74.74Avg. F1: 76.08… |
| hyperspectral-semantic-segmentation-on-hsi-drive-v2-0 | DeepLabV3+ | #3 | Accuracy: 92.51Average Accuracy: 65.58Avg. F1: 67.86… |
| hyperspectral-semantic-segmentation-on-hyko2-vis | RU-Net | #1 | Accuracy: 86.72Average Accuracy: 68.79Average Jaccard: 58.64… |
| hyperspectral-semantic-segmentation-on-hyko2-vis | U-Net | #2 | Accuracy: 85.36Average Accuracy: 68.15Average Jaccard: 57.39… |
| hyperspectral-semantic-segmentation-on-hyko2-vis | DeepLabV3+ | #3 | Accuracy: 84.10Average Accuracy: 63.01Average Jaccard: 53.22… |
| hyperspectral-semantic-segmentation-on-hyperspectral-city | RU-Net | #1 | Jaccard (Mean): 43.33Accuracy: 87.63Average Accuracy: 54.14… |
| hyperspectral-semantic-segmentation-on-hyperspectral-city | DeepLabV3+ | #2 | Jaccard (Mean): 40.79Accuracy: 86.60Average Accuracy: 53.15… |
| hyperspectral-semantic-segmentation-on-hyperspectral-city | U-Net | #3 | Jaccard (Mean): 37.73Accuracy: 85.25Average Accuracy: 48.62… |