EAT-S (scratch)

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio2 results

Audio ClassificationonESC-50
Accuracy (5-fold)· 2022-04-25
92.15
best: 99.1 (OmniVec2)
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network arXiv:2204.11479
Audio ClassificationonESC-50
Top-1 Accuracy· 2022-04-25
92.15
best: 99.1 (OmniVec2)
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network arXiv:2204.11479

Methodology2 results

ClassificationonESC-50
Accuracy (5-fold)· 2022-04-25
92.15
best: 99.1 (OmniVec2)
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network arXiv:2204.11479
ClassificationonESC-50
Top-1 Accuracy· 2022-04-25
92.15
best: 99.1 (OmniVec2)
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network arXiv:2204.11479