Human Activity Recognition on PAMAP2 4 unseen classes (test)
73Overall AccuracyA2-M
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| A2-MEncoder=Contrastive, Prototypes=Discrim. desc., Inference=ISF + centering2026.06 | 73 | 58.32 | 63.5 | |
| A3-MEncoder=Contrastive, Prototypes=Discrim. desc., Inference=Alignment + ISF2026.06 | 72 | 56.95 | 58.55 | |
| A1-MEncoder=Contrastive, Prototypes=Discrim. desc., Inference=Cosine NN2026.06 | 64 | 42 | 55 | |
| A1Encoder=Baseline, Prototypes=Label names, Inference=Cosine NN2026.06 | 58 | 34 | — | |
| A2Encoder=Baseline, Prototypes=Rich desc., Inference=ISF + centering2026.06 | 55 | 35 | — | |
| A4bEncoder=Contrastive, Prototypes=Rich desc., Inference=ISF + centering2026.06 | 45 | 33 | — | |
| A3Encoder=Baseline, Prototypes=Rich desc., Inference=Alignment + ISF2026.06 | 42 | 32 | — | |
| A4aEncoder=Contrastive, Prototypes=Rich desc., Inference=Cosine NN2026.06 | 40 | 29 | — | |
| Random chanceEncoder=n/a, Prototypes=n/a, Inference=n/a2026.06 | 25 | 25 | 25 |