Temporal Crop Segmentation on Germany
2.65Performance Score @ 10%UNet3Df
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| UNet3Df2026.01 | 2.65 | 3.12 | 3.57 | 3.42 | 15.19 | 15.56 | 30.04 | 39.73 | 65.44 | 74.32 | 25.3 | 12.24 | |
| TEA(TSViT)Framework=TEA, Backbone=TSViT2026.01 | 2.49 | 30.25 | 34.64 | 46.92 | 66.87 | 72.2 | 84.18 | 85.69 | 86.24 | 86.36 | 59.58 | 36.62 | |
| UNet3D2026.01 | 2.44 | 2.48 | 2.43 | 3.01 | 11.94 | 16.93 | 27.05 | 32.52 | 65.79 | 73.66 | 23.83 | 11.29 | |
| U-TAE2026.01 | 2.44 | 3.37 | 3.26 | 7.69 | 20.8 | 26.3 | 56.55 | 75.87 | 79.39 | 82 | 35.77 | 17.16 | |
| TEA(U-TAE)Framework=TEA, Backbone=U-TAE2026.01 | 2.44 | 17.44 | 17.57 | 28.99 | 48.37 | 53.36 | 71.19 | 75.26 | 75.7 | 75.3 | 46.56 | 26.75 | |
| TSViT2026.01 | 2.42 | 4.62 | 4.9 | 5.55 | 24.74 | 30.58 | 67.57 | 79.22 | 84.3 | 86.28 | 39.02 | 18.9 | |
| BiConvGRU2026.01 | 2.22 | 3.03 | 3.01 | 3.09 | 4.03 | 3.61 | 3.15 | 4.67 | 6.7 | 54.99 | 8.85 | 4.85 | |
| BiConvLSTM2026.01 | 2.03 | 2.16 | 1.83 | 1.14 | 1.49 | 1.34 | 1.28 | 2.49 | 6.89 | 58.1 | 7.88 | 3.96 | |
| ConvGRU2026.01 | 1.32 | 2.43 | 2.32 | 2.29 | 3.04 | 3.09 | 4.8 | 5.03 | 11.2 | 59 | 9.45 | 4.6 | |
| ConvLSTM2026.01 | 0.62 | 1.26 | 1.45 | 1.34 | 3.08 | 2.16 | 6.39 | 10.57 | 26.68 | 63.15 | 11.67 | 4.97 | |
| ConvLSTM*FPN head=true2026.01 | 0.58 | 0.53 | 0.58 | 1.93 | 14.64 | 17.41 | 27.65 | 41.85 | 64.6 | 73.19 | 24.3 | 10.59 |