Hyperspectral Semantic Segmentation On Hyko2
Metrics
Accuracy
Average Accuracy
Average Jaccard
Avg. F1
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Average Accuracy | Average Jaccard | Avg. F1 | Paper Title | Repository |
|---|---|---|---|---|---|---|
| DeepLabV3+ | 84.10 | 63.01 | 53.22 | 64.90 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| RU-Net | 86.72 | 68.79 | 58.64 | 69.19 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios | |
| U-Net | 85.36 | 68.15 | 57.39 | 68.55 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios |
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