Hyperspectral Semantic Segmentation On Hsi
評価指標
Accuracy
Average Accuracy
Avg. F1
Jaccard (Mean)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | 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 |
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