notesum.ai
Published at November 20DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
cs.CV
cs.AI
cs.ET
Released Date: November 20, 2024
Authors: Julian Strohmayer1, Rafael Sterzinger1, Matthias Wödlinger, Martin Kampel1
Aff.: 1Computer Vision Lab, TU Wien
| Model | A | R | ACC | F1-Score |
| (baseline) | - | 38.69 3.17 | 40.62 2.93 | |
| ✓ | 47.75 4.31 | 49.32 4.45 | ||
| - | - | 42.76 4.21 | 44.89 3.93 | |
| ✓ | - | 51.70 4.40 | 53.20 4.26 | |
| - | 39.54 2.80 | 42.02 2.62 | ||
| ✓ | 64.53 1.87 | 65.66 1.85 | ||
| - | - | 45.26 5.83 | 48.23 5.11 | |
| ✓ | - | 65.90 1.53 | 67.29 1.43 | |
| ✓ | ✓ | 66.92 1.54 | 68.13 1.45 |