Time-series Classification on Gesture (test)
83.67AccuracyPULSE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PULSEPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 83.67 | 97.2 | |
| SimCLRPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 78.83 | 93.8 | |
| LFADSPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 78.5 | 95.42 | |
| REBARPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 78.17 | 95.54 | |
| DSVAEPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 78 | 95.34 | |
| TS2VecPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 77.67 | 95.45 | |
| PatchTSTPre-training Dataset=HAR, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 77 | 95.21 |