Hyperspectral Semantic Segmentation On
Metrics
Accuracy
Average Accuracy
Avg. F1
Jaccard (Mean)
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Average Accuracy | Avg. F1 | Jaccard (Mean) | Paper Title | Repository |
|---|---|---|---|---|---|---|
| U-Net | 85.25 | 48.62 | 48.18 | 37.73 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| DeepLabV3+ | 86.60 | 53.15 | 51.83 | 40.79 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| RU-Net | 87.63 | 54.14 | 53.26 | 43.33 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios |
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