Hyperspectral Semantic Segmentation On Hsi
评估指标
Accuracy
Average Accuracy
Avg. F1
Jaccard (Mean)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Average Accuracy | Avg. F1 | Jaccard (Mean) | Paper Title | Repository |
|---|---|---|---|---|---|---|
| DeepLabV3+ | 92.51 | 65.58 | 67.86 | 56.63 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| RU-Net | 96.08 | 79.82 | 82.34 | 72.18 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| U-Net | 94.95 | 74.74 | 76.08 | 64.95 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios |
0 of 3 row(s) selected.