Human Activity Recognition on UCI-HAR (test)
96.33AccuracyHSMGNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| HSMGNN2025.12 | 96.33 | 96.3 | — | |
| FCSTGNN2025.12 | 95.81 | 95.82 | — | |
| MATT2025.12 | 93.93 | 93.87 | — | |
| FedAWACVisibility=RA2026.05 | 93.02 | — | — | |
| FedAWACVisibility=MS2026.05 | 92.53 | — | — | |
| FedProxVisibility=MS2026.05 | 92.48 | — | — | |
| UniMTSEvaluation Protocol=Full-Shot, Number of Classes=62024.10 | 92.1 | 92.2 | — | |
| FedProxVisibility=RA2026.05 | 91.94 | — | — | |
| Crossformer2025.12 | 91.89 | 91.84 | — | |
| Spatio-Temporal Attention-based Q-NetworkVisibility=RA2026.05 | 91.54 | — | — | |
| Spatio-Temporal Attention-based Q-NetworkVisibility=MS2026.05 | 91.53 | — | — | |
| HA-EdgeFLowVisibility=RA2026.05 | 91.26 | — | — | |
| MAGNN2025.12 | 90.91 | 90.79 | — | |
| ImageBindEvaluation Protocol=Full-Shot, Number of Classes=62024.10 | 90.9 | 90.7 | — | |
| HA-EdgeFLowVisibility=MS2026.05 | 90 | — | — | |
| SAGDFN2025.12 | 86.52 | 74.66 | — | |
| MegaCRN2025.12 | 83.87 | 83.39 | — | |
| CNNArchitecture=CNN2026.05 | — | — | 94.53 | |
| Conventional TransformerArchitecture=Conventional Transformer2026.05 | — | — | 93.66 | |
| DeepConvLSTMArchitecture=DeepConvLSTM2026.05 | — | — | 95.94 | |
| HARLLMArchitecture=HARLLM2026.05 | — | — | 95.78 | |
| HARTArchitecture=HART2026.05 | — | — | 94.49 |