ERANN-1-6
Reported on 7 benchmarks across 3 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Audio4 results
- 0.976best: 0.981 (PSLA (Ensemble))
- Test mAP0.45best: 0.558 (OmniVec2)
- d-prime2.804best: 2.936 (PSLA (Ensemble))
- mean average precision0.45best: 0.512 (CAV-MAE (Audio-Visual))
Methodology3 results
- 0.976best: 0.981 (PSLA (Ensemble))
- Test mAP0.45best: 0.558 (OmniVec2)
- d-prime2.804best: 2.936 (PSLA (Ensemble))