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Models/HyLITE

HyLITE

Reported on 12 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Computer Vision12 results

HyperspectralonPavia University
OA@15perclass· 2023-09-04
91.28
best: 95.6 (RPNet-RF)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
HyperspectralonHouston
OA@15perclass· 2023-09-04
88.49
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
HyperspectralonIndian Pines
OA@15perclass· 2023-09-04
89.8
best: 92.37 (HyperspectralMAE)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Image ClassificationonPavia University
OA@15perclass· 2023-09-04
91.28
best: 95.6 (RPNet-RF)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Image ClassificationonHouston
OA@15perclass· 2023-09-04
88.49
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Image ClassificationonIndian Pines
OA@15perclass· 2023-09-04
89.8
best: 92.37 (HyperspectralMAE)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Hyperspectral Image SegmentationonPavia University
OA@15perclass· 2023-09-04
91.28
best: 95.6 (RPNet-RF)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Hyperspectral Image SegmentationonHouston
OA@15perclass· 2023-09-04
88.49
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Hyperspectral Image SegmentationonIndian Pines
OA@15perclass· 2023-09-04
89.8
best: 92.37 (HyperspectralMAE)
SOTA
Locality-Aware Hyperspectral Classification arXiv:2309.01561
HyperspectralonIndian Pines
Overall Accuracy· 2023-09-04
89.8
best: 99.94 (KANet)
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Image ClassificationonIndian Pines
Overall Accuracy· 2023-09-04
89.8
best: 99.94 (KANet)
Locality-Aware Hyperspectral Classification arXiv:2309.01561
Hyperspectral Image SegmentationonIndian Pines
Overall Accuracy· 2023-09-04
89.8
best: 99.94 (KANet)
Locality-Aware Hyperspectral Classification arXiv:2309.01561