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Pixel Classification on Pavia University (PU) Modernized (test)

73.3Overall Accuracy1D
65.81267.75669.771.644Aug 29, 2025

Evaluation results

MethodLinks
1DBackbone=1D CNN2025.0873.362.1
3DBackbone=3D CNN2025.0870.160.2
SFArchitecture=Transformer-based2025.0869.959.1
BAAS2025.0869.560.4
3DAESType=Autoencoder-based2025.0868.569.2
PhISM2025.0867.468
AutoencoderType=Conventional DL Autoencoder2025.0866.166.5
PhISM (fixed)Ablation=fixed spectral components2025.0866.166.6