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Models/SSDGL

SSDGL

Reported on 9 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 Vision9 results

HyperspectralonPavia University
Kappa@1%· 2021-05-29
0.9996
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
HyperspectralonIndian Pines
Kappa· uses extra data· 2021-05-29
0.9958
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
HyperspectralonCASI University of Houston
Overall Accuracy· 2021-05-29
95.36
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Image ClassificationonPavia University
Kappa@1%· 2021-05-29
0.9996
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Image ClassificationonIndian Pines
Kappa· uses extra data· 2021-05-29
0.9958
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Image ClassificationonCASI University of Houston
Overall Accuracy· 2021-05-29
95.36
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Hyperspectral Image SegmentationonPavia University
Kappa@1%· 2021-05-29
0.9996
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Hyperspectral Image SegmentationonIndian Pines
Kappa· uses extra data· 2021-05-29
0.9958
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327
Hyperspectral Image SegmentationonCASI University of Houston
Overall Accuracy· 2021-05-29
95.36
SOTA
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification arXiv:2105.14327