Regression on Crime Incidence
89.4R-squared (%)UrbanFusion
Evaluation results
| Method | Links | |
|---|---|---|
| UrbanFusionEvaluation Protocol=MLP2025.10 | 89.4 | |
| GeoCLIPEvaluation Protocol=MLP, Pre-training Dataset=MP-162025.10 | 89.2 | |
| UrbanFusionTraining Dataset=PP2-M2025.10 | 88.5 | |
| GAIREvaluation Protocol=MLP2025.10 | 87.5 | |
| UrbanFusionPre-training Data=PP2-M, Evaluation Protocol=coordinate-only2025.10 | 87.4 | |
| UrbanFusionEvaluation Protocol=Linear2025.10 | 87.4 | |
| GPS2VecEvaluation Protocol=MLP, Data Source=tag2025.10 | 86.6 | |
| GeoCLIPEvaluation Protocol=MLP, Pre-training Dataset=PP2-M2025.10 | 86.5 | |
| GeoCLIPTraining Dataset=MP-16, Modality=tag2025.10 | 86.3 | |
| GeoCLIPPre-training Data=MP-16, Evaluation Protocol=coordinate-only2025.10 | 86.3 | |
| GeoCLIPEvaluation Protocol=Linear, Pre-training Dataset=MP-162025.10 | 86.3 | |
| GAIRTraining Dataset=PP2-M2025.10 | 85.4 | |
| GAIRPre-training Data=PP2-M, Evaluation Protocol=coordinate-only2025.10 | 85.4 | |
| GAIREvaluation Protocol=Linear2025.10 | 85.4 | |
| GPS2Vec2025.10 | 84.4 | |
| GPS2VecPre-training Data=tag, Evaluation Protocol=coordinate-only2025.10 | 84.4 | |
| GPS2VecEvaluation Protocol=Linear, Data Source=tag2025.10 | 84.4 | |
| GeoCLIPTraining Dataset=PP2-M2025.10 | 84 | |
| GeoCLIPPre-training Data=PP2-M, Evaluation Protocol=coordinate-only2025.10 | 84 | |
| GeoCLIPEvaluation Protocol=Linear, Pre-training Dataset=PP2-M2025.10 | 84 | |
| PDFMEvaluation Protocol=MLP, Data Source=Google2025.10 | 78.2 | |
| Google2025.10 | 76.5 | |
| PDFMPre-training Data=visual, Evaluation Protocol=coordinate-only2025.10 | 76.5 | |
| GPS2VecEvaluation Protocol=Linear, Data Source=visual2025.10 | 76.5 | |
| PDFM2025.10 | 74.5 | |
| GooglePre-training Data=Google, Evaluation Protocol=coordinate-only2025.10 | 74.5 | |
| PDFMEvaluation Protocol=Linear, Data Source=Google2025.10 | 74.5 | |
| GPS2VecEvaluation Protocol=MLP, Data Source=visual2025.10 | 73.3 | |
| SatCLIP L40Training Dataset=S2-100K2025.10 | 69.1 | |
| SatCLIP L40Training Dataset=MP-16, Modality=visual2025.10 | 66.9 | |
| SatCLIP L40Pre-training Data=PP2-M, Evaluation Protocol=coordinate-only2025.10 | 65.9 | |
| SatCLIP L40Evaluation Protocol=Linear, Pre-training Dataset=PP2-M2025.10 | 65.9 | |
| SatCLIP L40Pre-training Data=S2-100K, Evaluation Protocol=coordinate-only2025.10 | 61.5 | |
| SatCLIP L40Evaluation Protocol=Linear, Pre-training Dataset=S2-100K2025.10 | 61.5 | |
| SatCLIP L10Evaluation Protocol=Linear, Pre-training Dataset=PP2-M2025.10 | 59.4 | |
| SatCLIP L10Evaluation Protocol=Linear, Pre-training Dataset=S2-100K2025.10 | 58.9 | |
| CSPEvaluation Protocol=Linear, Data Source=iNat2025.10 | 52.5 | |
| CSPEvaluation Protocol=Linear, Data Source=FMoW2025.10 | 50.8 | |
| SatCLIP L40Evaluation Protocol=MLP, Pre-training Dataset=PP2-M2025.10 | 46.5 | |
| SatCLIP L40Evaluation Protocol=MLP, Pre-training Dataset=S2-100K2025.10 | 46.1 | |
| SatCLIP L10Evaluation Protocol=MLP, Pre-training Dataset=PP2-M2025.10 | 28.6 | |
| IdentityEvaluation Protocol=MLP, Variant=y ~ g(c)2025.10 | 28.1 | |
| SatCLIP L10Evaluation Protocol=MLP, Pre-training Dataset=S2-100K2025.10 | 27.6 | |
| CSPEvaluation Protocol=MLP, Data Source=iNat2025.10 | 27.1 | |
| CSPEvaluation Protocol=MLP, Data Source=FMoW2025.10 | 27 | |
| IdentityEquation=y ∼ g(c)2025.10 | 22.1 | |
| IdentityPre-training Data=y ~ g(c), Evaluation Protocol=coordinate-only2025.10 | 22.1 | |
| IdentityEvaluation Protocol=Linear, Variant=y ~ g(c)2025.10 | 22.1 |