Human Activity Recognition on ADL
92.86F1 ScoreFlowFM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FlowFMEvaluation Protocol=Fine-tuning2025.12 | 92.86 | 0.9449 | |
| FlowFMEvaluation Protocol=Transfer learning2025.12 | 91.68 | 0.937 | |
| DiffFMEvaluation Protocol=Fine-tuning2025.12 | 91.18 | 0.9291 | |
| DiffFMEvaluation Protocol=Transfer learning2025.12 | 88.13 | 0.9055 | |
| 1D-DINOEvaluation Protocol=Fine-tuning2025.12 | 87.8 | 0.9024 | |
| SENvT-u4Evaluation Protocol=Fine-tuning2025.12 | 87.8 | 0.9087 | |
| 1D-DINOEvaluation Protocol=Transfer learning2025.12 | 86.91 | 0.8835 | |
| SENvT-u7Evaluation Protocol=Fine-tuning2025.12 | 86.84 | 0.8992 | |
| BERTEvaluation Protocol=Fine-tuning2025.12 | 85.53 | 0.8583 | |
| 1D-Diffusion ClassifierEvaluation Protocol=Fine-tuning2025.12 | 85.15 | 0.8818 | |
| SSL-WearablesEvaluation Protocol=Fine-tuning2025.12 | 82.9 | — | |
| SENvT-u4Evaluation Protocol=Transfer learning2025.12 | 79.36 | 0.8394 | |
| SENvT-u7Evaluation Protocol=Transfer learning2025.12 | 78.49 | 0.8472 | |
| SSL-WearablesEvaluation Protocol=Transfer learning2025.12 | 75.4 | — |