Anomalous Sound Detection on DCASE 2020 (eval)
94.3Official Performance MetricJiang et al.
Evaluation results
| Method | Links | |
|---|---|---|
| Jiang et al.training-free=false2026.03 | 94.3 | |
| Fujimura et al.training-free=false2026.03 | 93.5 | |
| Wilkinghoff et al.training-free=false2026.03 | 93.3 | |
| Han et al.training-free=false2026.03 | 93.1 | |
| Wilkinghofftraining-free=false2026.03 | 92.8 | |
| Hou et al.training-free=false2026.03 | 92 | |
| DCASE2020 Challenge winnertraining-free=false2026.03 | 89.8 | |
| BEATstraining-free=true, pooling=Hybrid RDP+GeM2026.03 | 87.4 | |
| EATtraining-free=true, pooling=Hybrid RDP+GeM2026.03 | 82.2 | |
| Wilkinghoff et al. (BEATs)training-free=true2026.03 | 82.2 | |
| openL3training-free=true, pooling=Hybrid RDP+GeM2026.03 | 81.8 | |
| Dashengtraining-free=true, pooling=Hybrid RDP+GeM2026.03 | 81.6 | |
| Fujimura et al. (BEATs)training-free=true2026.03 | 77.5 | |
| Wilkinghoff (STFT)training-free=true2026.03 | 75.4 | |
| Koizumi et al.training-free=false2026.03 | 70 |