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Models/RU-Net

RU-Net

Reported on 24 benchmarks across 2 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical12 results

Semantic SegmentationonHyperspectral City
Accuracy · 2024-09-17
87.63
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyperspectral City
Average Accuracy· 2024-09-17
54.14
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyperspectral City
Avg. F1· 2024-09-17
53.26
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyperspectral City
Jaccard (Mean)· 2024-09-17
43.33
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHSI-Drive v2.0
Accuracy· 2024-09-17
96.08
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHSI-Drive v2.0
Average Accuracy· 2024-09-17
79.82
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHSI-Drive v2.0
Avg. F1· 2024-09-17
82.34
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHSI-Drive v2.0
Jaccard (Mean)· 2024-09-17
72.18
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyKo2-VIS
Accuracy· 2024-09-17
86.72
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyKo2-VIS
Average Accuracy· 2024-09-17
68.79
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyKo2-VIS
Average Jaccard· 2024-09-17
58.64
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
Semantic SegmentationonHyKo2-VIS
Avg. F1· 2024-09-17
69.19
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205

Audio12 results

10-shot image generationonHyperspectral City
Accuracy · 2024-09-17
87.63
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyperspectral City
Average Accuracy· 2024-09-17
54.14
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyperspectral City
Avg. F1· 2024-09-17
53.26
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyperspectral City
Jaccard (Mean)· 2024-09-17
43.33
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHSI-Drive v2.0
Accuracy· 2024-09-17
96.08
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHSI-Drive v2.0
Average Accuracy· 2024-09-17
79.82
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHSI-Drive v2.0
Avg. F1· 2024-09-17
82.34
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHSI-Drive v2.0
Jaccard (Mean)· 2024-09-17
72.18
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyKo2-VIS
Accuracy· 2024-09-17
86.72
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyKo2-VIS
Average Accuracy· 2024-09-17
68.79
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyKo2-VIS
Average Jaccard· 2024-09-17
58.64
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205
10-shot image generationonHyKo2-VIS
Avg. F1· 2024-09-17
69.19
SOTA
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios arXiv:2409.11205