Regression on Canopy Height (Area of interest A+)
0.047MAELIANet-Large
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LIANet-LargeModel variant=Large, Tunable Params (M)=0.52026.04 | 0.047 | 0.011 | |
| TerraMind-base (Full)Fine-tuning Setting=Full, Tunable Params (M)=1022026.04 | 0.048 | 0.012 | |
| Prithvi v2-300 (Full)Fine-tuning Setting=Full, Tunable Params (M)=3242026.04 | 0.048 | 0.012 | |
| UNetModel variant=Standard, Tunable Params (M)=17.32026.04 | 0.049 | 0.012 | |
| LIANet-BaseModel variant=Base, Tunable Params (M)=0.52026.04 | 0.049 | 0.011 | |
| TerraMind-base (Frozen)Fine-tuning Setting=Frozen, Tunable Params (M)=15.52026.04 | 0.05 | 0.012 | |
| DOFA-Large (Full)Fine-tuning Setting=Full, Tunable Params (M)=3572026.04 | 0.051 | 0.013 | |
| Prithvi v2-300 (Frozen)Fine-tuning Setting=Frozen, Tunable Params (M)=20.32026.04 | 0.053 | 0.014 | |
| DOFA-Large (Frozen)Fine-tuning Setting=Frozen, Tunable Params (M)=20.32026.04 | 0.057 | 0.016 | |
| Micro UNetModel variant=Micro, Tunable Params (M)=0.492026.04 | 0.065 | 0.019 | |
| TerraMind-base (Embedding)Fine-tuning Setting=Embedding, Tunable Params (M)=0.392026.04 | 0.11 | 0.056 | |
| Prithvi v2-300 (Embedding)Fine-tuning Setting=Embedding, Tunable Params (M)=0.462026.04 | 0.11 | 0.056 | |
| DOFA-Large (Embedding)Fine-tuning Setting=Embedding, Tunable Params (M)=0.462026.04 | 0.11 | 0.056 |