A/V classification on LES-AV
92.61AccuracyRRWNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| RRWNetRR module post-processing=false2024.02 | 92.61 | — | — | |
| Galdran et al. (2022)RR module post-processing=true2024.02 | 89.41 | — | — | |
| Morano et al. (2021)RR module post-processing=true2024.02 | 88.44 | — | — | |
| Galdran et al. (2022)RR module post-processing=false2024.02 | 85.39 | — | — | |
| Morano et al. (2021)RR module post-processing=false2024.02 | 83.62 | — | — | |
| RRWNetProtocol=Cross-dataset evaluation (trained on RITE)2024.02 | 0.9481 | 0.943 | 0.9525 | |
| Kang et al. (2020)Protocol=2-fold cross-validation2024.02 | 0.9219 | 0.9426 | 0.909 | |
| Galdran et al. (2022)Calculated by authors=true, Protocol=Cross-dataset evaluation (trained on RITE)2024.02 | 0.9047 | 0.8686 | 0.9356 | |
| Galdran et al. (2019)2024.02 | 0.86 | 0.88 | 0.85 |