Human Activity Recognition on WISDM
89.1Macro F1FlowFM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FlowFMEvaluation Protocol=Fine-tuning2025.12 | 89.1 | 0.8918 | |
| SENvT-u7Evaluation Protocol=Fine-tuning2025.12 | 88.67 | 0.8875 | |
| DiffFMEvaluation Protocol=Fine-tuning2025.12 | 88.32 | 0.8839 | |
| 1D-DINOEvaluation Protocol=Fine-tuning2025.12 | 86.84 | 0.8693 | |
| SENvT-u4Evaluation Protocol=Fine-tuning2025.12 | 86.79 | 0.8693 | |
| FlowFMEvaluation Protocol=Transfer learning2025.12 | 83.22 | 0.8337 | |
| TinierHAR2026.02 | 83.06 | — | |
| TinierHAR2026.02 | 83.06 | — | |
| DiffFMEvaluation Protocol=Transfer learning2025.12 | 82.24 | 0.8261 | |
| DeepConvLSTM2026.02 | 81.84 | — | |
| DeepConvLSTM2026.02 | 81.25 | — | |
| SSL-WearablesEvaluation Protocol=Fine-tuning2025.12 | 81 | — | |
| 1D-Diffusion ClassifierEvaluation Protocol=Fine-tuning2025.12 | 80.75 | 0.8076 | |
| Crossover-BiDir-BabyMambaDirectionality=Bidirectional2026.02 | 80.69 | — | |
| BERTEvaluation Protocol=Fine-tuning2025.12 | 79.24 | 0.7923 | |
| CI-BabyMamba-HARChannel Processing=Channel Independent2026.02 | 77.76 | — | |
| 1D-DINOEvaluation Protocol=Transfer learning2025.12 | 77.16 | 0.7747 | |
| TinyHAR2026.02 | 77.09 | — | |
| TinyHAR2026.02 | 77.09 | — | |
| µBi-ConvLSTM2026.02 | 73.17 | — | |
| SSL-WearablesEvaluation Protocol=Transfer learning2025.12 | 72.3 | — | |
| SENvT-u7Evaluation Protocol=Transfer learning2025.12 | 67.66 | 0.6819 | |
| SENvT-u4Evaluation Protocol=Transfer learning2025.12 | 66.18 | 0.6667 | |
| DLinearAvg Params=3.64M, Avg GFlops=0.12G2025.08 | — | 60.41 | |
| FiLMAvg Params=12.59M, Avg GFlops=0.58G2025.08 | — | 80.06 | |
| iTransformerAvg Params=491.73K, Avg GFlops=0.05G2025.08 | — | 83.89 | |
| LightTSAvg Params=1.85M, Avg GFlops=0.07G2025.08 | — | 84.95 | |
| LITEAvg Params=16.84K, Avg GFlops=0.27G2025.08 | — | 97.79 | |
| MambaAvg Params=235.81K, Avg GFlops=5.11G2025.08 | — | 97.88 | |
| MiniROCKETAvg Params=72.55K, Avg GFlops=0.55G2025.08 | — | 95.2 | |
| PatchTSTAvg Params=485.79K, Avg GFlops=1.63G2025.08 | — | 85.49 | |
| PRISMAvg Params=13.59K, Avg GFlops=0.04G2025.08 | — | 94.65 | |
| TimesNetAvg Params=56.69M, Avg GFlops=4.07T2025.08 | — | 87.24 | |
| TSLANetAvg Params=762.32K, Avg GFlops=2.12G2025.08 | — | 95.38 |