Multivariate Time Series Classification on MotorImagery
64AccuracyTARNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TARNet2023.11 | 64 | — | — | |
| WaveFormer2026.02 | 64 | — | — | |
| TS2Vec2023.11 | 62 | — | — | |
| TST2023.11 | 62 | — | — | |
| TS-TCC2023.11 | 61 | — | — | |
| CRT2023.11 | 58 | — | — | |
| LPTM2023.11 | 57 | — | — | |
| ROCKETTrain size=2782023.05 | 56 | 45.39 | 16.26 | |
| ConvTranTrain size=2782023.05 | 56 | 386 | 0.81 | |
| ConvTranTrain Size=2782023.05 | 56 | — | — | |
| ROCKETTrain Size=2782023.05 | 56 | — | — | |
| ConvTranAvg Train=1392023.05 | 56 | — | — | |
| ConvTran2026.02 | 56 | — | — | |
| FCNAvg Train=1392023.05 | 55 | — | — | |
| HC2Train Size=2782023.05 | 54 | — | — | |
| ITAvg Train=1392023.05 | 53 | — | — | |
| PatchTST2026.02 | 53 | — | — | |
| IT2026.02 | 53 | — | — | |
| ResNetAvg Train=1392023.05 | 52 | — | — | |
| Autoformer2023.11 | 52 | — | — | |
| ResNet2026.02 | 52 | — | — | |
| FETABackbone=Qwen32025.10 | 52 | — | — | |
| Informer2023.11 | 51 | — | — | |
| MLSTM-FCNs2025.10 | 51 | — | — | |
| CIFTrain Size=2782023.05 | 50 | — | — | |
| TimesNet2023.11 | 50 | — | — | |
| WEASEL+MUSE2025.10 | 50 | — | — | |
| FETABackbone=DeepSeek R12025.10 | 50 | — | — | |
| Disjoint-CNNAvg Train=1392023.05 | 49 | — | — | |
| TSTAvg Train=1392023.05 | 48 | — | — | |
| TST2026.02 | 48 | — | — | |
| MERIT2025.10 | 48 | — | — | |
| SimMTM2023.11 | 46 | — | — | |
| TimesURL2025.10 | 46 | — | — | |
| TS2Vec2025.10 | 45 | — | — | |
| TS-TCC2025.10 | 44 | — | — | |
| T-Loss2025.10 | 43 | — | — | |
| FETABackbone=LLaMA3.12025.10 | 43 | — | — | |
| TST2025.10 | 42 | — | — | |
| DeepSeek R12025.10 | 40 | — | — | |
| DTW2025.10 | 39 | — | — |