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ResearchFormerly WizWand

Hyperspectral Image Classification on Pavia

99.01Benign AccuracyS3ANet
94.392495.591296.7997.9888Oct 1, 2025
Updated 7mo ago

Evaluation results

MethodLinks
S3ANetAdversarial Training Setting=AT-HARL2025.1099.0195.3697.23
SSFCNTraining Scheme=AT-RA2025.1098.6241.7943.36
SSFCNAdversarial Training Setting=AT-RA2025.1098.6241.7943.36
SpaFCNTraining Scheme=AT-RA2025.1098.3357.467.86
RCCATraining Scheme=AT-RA2025.1098.3397.497.86
SpaFCNAdversarial Training Setting=AT-RA2025.1098.3357.467.86
RCCAAdversarial Training Setting=AT-RA2025.1098.3397.497.86
SACNetTraining Scheme=AT-RA2025.1098.1291.7993.36
SACNetAdversarial Training Setting=AT-RA2025.1098.1291.7993.36
S3ANetTraining Scheme=AT-RA2025.1097.8796.1196.73
S3ANetAdversarial Training Setting=AT-RA2025.1097.8796.1196.73
S3ANetTraining Scheme=AT2025.1097.4986.3789.12
S3ANetAdversarial Training Setting=AT2025.1097.4986.3789.12
SACNetTraining Scheme=AT2025.1097.1471.4879.62
SACNetAdversarial Training Setting=AT2025.1097.1471.4879.62
DilatedFCNTraining Scheme=AT-RA2025.1096.5272.7986.51
DilatedFCNAdversarial Training Setting=AT-RA2025.1096.5272.7986.51
SpaFCNAdversarial Training Setting=AT-HARL2025.1096.260.4266.2
SSFCNAdversarial Training Setting=AT-HARL2025.1096.1945.0456.26
RCCAAdversarial Training Setting=AT-HARL2025.1096.0888.4592.91
DilatedFCNAdversarial Training Setting=AT-HARL2025.1096.0572.0878.64
DilatedFCNTraining Scheme=AT2025.1095.9269.5973.17
DilatedFCNAdversarial Training Setting=AT2025.1095.9269.5973.17
RCCATraining Scheme=AT2025.1095.2173.9888.32
RCCAAdversarial Training Setting=AT2025.1095.2173.9888.32
SpaFCNTraining Scheme=AT2025.1094.9652.9464.76
SpaFCNAdversarial Training Setting=AT2025.1094.9652.9464.76
SACNetAdversarial Training Setting=AT-HARL2025.1094.7990.0989.33
SSFCNTraining Scheme=AT2025.1094.5723.3835.93
SSFCNAdversarial Training Setting=AT2025.1094.5723.3835.93