Affect recognition on WESAD (test)
82.96AccuracySLIPBase
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SLIPBase# Parameters=120M, # Time Points=1.7B, Evaluation Protocol=linear-probing2026.03 | 82.96 | — | |
| Normwear# Parameters=136M, # Time Points=0.31B, Evaluation Protocol=linear-probing2026.03 | 80.27 | — | |
| ChatTS# Parameters=8B, # Time Points=0.23B, Evaluation Protocol=linear-probing2026.03 | 78.03 | — | |
| SimMTM# Parameters=0.5M, # Time Points=1.72M, Evaluation Protocol=linear-probing2026.03 | 75.78 | — | |
| PatchTST (Supervised Learning)# Parameters=0.9M, Evaluation Protocol=Supervised Learning2026.03 | 75.78 | — | |
| Chronos2# Parameters=120M, # Time Points=242.8B, Evaluation Protocol=linear-probing2026.03 | 73.09 | — | |
| ChronosBase# Parameters=200M, # Time Points=12.8B, Evaluation Protocol=linear-probing2026.03 | 66.37 | — | |
| Statistical MLEvaluation Protocol=linear-probing2026.03 | 62.78 | — | |
| TF-C# Parameters=12M, # Time Points=1.72M, Evaluation Protocol=linear-probing2026.03 | 56.95 | — | |
| SundialBase# Parameters=128M, # Time Points=1032B, Evaluation Protocol=linear-probing2026.03 | 56.5 | — | |
| MERGE2025.09 | 55.74 | 77.34 | |
| FuseMoE2025.09 | 53.92 | 76.31 | |
| Transformer2025.09 | 53.84 | 74.39 | |
| I2MoE2025.09 | 52.64 | 75.52 | |
| MISTS2025.09 | 51.72 | 73.29 | |
| mTAND2025.09 | 48.22 | 71.66 | |
| MulT2025.09 | 47.63 | 71.43 |