Urban Sensing on Obstacles (test)
86.45Top-1 AccuracySLIPBase
Evaluation results
| Method | Links | |
|---|---|---|
| SLIPBase# Parameters=120M, # Time Points=1.7B, Evaluation Protocol=linear-probing2026.03 | 86.45 | |
| PatchTST (Supervised Learning)# Parameters=0.9M, Evaluation Protocol=Supervised Learning2026.03 | 84.91 | |
| Normwear# Parameters=136M, # Time Points=0.31B, Evaluation Protocol=linear-probing2026.03 | 83.38 | |
| Chronos2# Parameters=120M, # Time Points=242.8B, Evaluation Protocol=linear-probing2026.03 | 81.84 | |
| Statistical MLEvaluation Protocol=linear-probing2026.03 | 81.33 | |
| ChatTS# Parameters=8B, # Time Points=0.23B, Evaluation Protocol=linear-probing2026.03 | 76.73 | |
| SimMTM# Parameters=0.5M, # Time Points=1.72M, Evaluation Protocol=linear-probing2026.03 | 76.47 | |
| ChronosBase# Parameters=200M, # Time Points=12.8B, Evaluation Protocol=linear-probing2026.03 | 75.19 | |
| SundialBase# Parameters=128M, # Time Points=1032B, Evaluation Protocol=linear-probing2026.03 | 68.8 | |
| TF-C# Parameters=12M, # Time Points=1.72M, Evaluation Protocol=linear-probing2026.03 | 49.87 |