Hyperspectral Image Classification on Qingyun (test)
96.7Overall Accuracy (OA)Mixer-SENet
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mixer-SENet2026.06 | 96.7 | 97.25 | 93.92 | 83.32 | 99.81 | 96.86 | 96.06 | 95.46 | 95.64 | |
| MixerSENetParameters=53,146, FLOPs (×10^6)=7.894, MACs (×10^6)=3.890, Inference (m:s)=2:322026.06 | 96.7 | — | — | — | — | — | — | 95.46 | 95.64 | |
| Mixer-Net2026.06 | 96.04 | 98.25 | 98.91 | 85.63 | 99.12 | 97.63 | 93.19 | 94.54 | 94.76 | |
| MixerNetParameters=52,050, FLOPs (×10^6)=7.887, MACs (×10^6)=3.889, Inference (m:s)=2:302026.06 | 96.04 | — | — | — | — | — | — | 94.54 | 94.76 | |
| 3D-CNN2026.06 | 95.91 | 96.95 | 96.85 | 61.53 | 98.59 | 97.22 | 94.74 | 90.98 | 94.58 | |
| 3D-CNNParameters=397,586, FLOPs (×10^6)=0.682, MACs (×10^6)=0.341, Inference (m:s)=1:372026.06 | 95.91 | — | — | — | — | — | — | 90.98 | 94.58 | |
| SimPool-Former2026.06 | 95.67 | 97.17 | 93.52 | 70.91 | 97.98 | 96.74 | 95.88 | 92.03 | 94.26 | |
| SimPoolFormerParameters=771,122, FLOPs (×10^6)=57.497, MACs (×10^6)=28.423, Inference (m:s)=4:522026.06 | 95.67 | — | — | — | — | — | — | 92.03 | 94.26 | |
| HSI-Former2026.06 | 95.1 | 95.6 | 96.87 | 68.03 | 96.92 | 97.18 | 92.92 | 91.25 | 93.51 | |
| HSIFormerParameters=1,373,084, FLOPs (×10^6)=18.392, MACs (×10^6)=9.192, Inference (m:s)=11:002026.06 | 95.1 | — | — | — | — | — | — | 91.25 | 93.51 | |
| SS-MixNet2025.11 | 93.86 | 95.6 | 94.63 | 45 | 97.75 | 95.46 | 92.55 | 86.83 | 91.86 | |
| Hybrid-KAN2026.06 | 93.52 | 95.78 | 93.28 | 53.59 | 96.84 | 95.74 | 91.37 | 87.77 | 91.42 | |
| HybridKANParameters=142,690, FLOPs (×10^6)=20.200, MACs (×10^6)=10.027, Inference (m:s)=03:252026.06 | 93.52 | — | — | — | — | — | — | 87.77 | 91.42 | |
| IP-SWIN2025.11 | 93.14 | 93.32 | 94.18 | 48.97 | 97.54 | 95.98 | 92 | 86.55 | 90.9 | |
| 3D-CNN2025.11 | 92.42 | 93.81 | 93.95 | 43.29 | 96.81 | 95.07 | 90.04 | 85.5 | 89.96 | |
| Morph-Mamba2026.06 | 91.64 | 95.25 | 84.91 | 50.8 | 98.4 | 96.44 | 90.29 | 86.02 | 88.9 | |
| MorphMambaParameters=67,650, FLOPs (×10^6)=8.592, MACs (×10^6)=4.294, Inference (m:s)=7:322026.06 | 91.64 | — | — | — | — | — | — | 86.02 | 88.9 | |
| SimPoolFormer2025.11 | 90.57 | 95.08 | 88.47 | 42.32 | 97.43 | 89.31 | 90.56 | 83.86 | 87.48 | |
| HybridKAN2025.11 | 89.72 | 93.99 | 90.08 | 21.72 | 91.71 | 91.38 | 87 | 79.31 | 86.36 | |
| 2D-CNN2025.11 | 88.32 | 94.95 | 81.54 | 26.87 | 98.16 | 92.3 | 85.41 | 79.87 | 84.48 | |
| ConvVitMamba2026.04 | 81.66 | 92.23 | 82.76 | 50.99 | 76.97 | 73.55 | 78.15 | 75.78 | 75.88 | |
| HybridKAN2026.04 | 80.82 | 92.15 | 74.42 | 39.86 | 73.88 | 77.82 | 78.03 | 72.69 | 74.67 | |
| WaveMamba2026.04 | 79.83 | 91.4 | 81.42 | 42.36 | 89.31 | 67.98 | 77.88 | 75.06 | 73.42 | |
| DiffFormer2026.04 | 79.44 | 91.34 | 80.09 | 35.14 | 90.4 | 68.77 | 77.11 | 73.81 | 72.95 | |
| 2D-CNN2026.04 | 79.34 | 92.2 | 75.47 | 44.17 | 87.48 | 68.95 | 78.5 | 74.46 | 72.72 | |
| MLP2026.04 | 79 | 91.81 | 76.43 | 38.42 | 85.05 | 70.39 | 76.16 | 73.04 | 72.32 | |
| 3D-CNN2026.04 | 78.56 | 90.02 | 78.6 | 48.98 | 65.48 | 71.4 | 74.27 | 71.46 | 71.84 | |
| MorphMamba2026.04 | 78.54 | 92 | 82.15 | 30.14 | 88.37 | 59.85 | 79.52 | 72 | 71.59 | |
| SVM2026.04 | 78.41 | 93.56 | 75.85 | 5.19 | 82.71 | 64.25 | 79.57 | 66.86 | 71.29 | |
| HybridSN2026.04 | 78.4 | 89.09 | 73.61 | 44.39 | 79.04 | 72.33 | 77.1 | 72.6 | 71.53 | |
| ViT2026.04 | 78.31 | 91.54 | 80.88 | 33.97 | 85.23 | 63.06 | 77.23 | 71.99 | 71.39 | |
| SimPoolFormer2026.04 | 78.22 | 93.78 | 70.54 | 62.33 | 86.87 | 77.66 | 67.72 | 76.48 | 71.6 |