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Models/PSLA (Single)

PSLA (Single)

Reported on 6 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.

Audio3 results

Audio ClassificationonAudioSet
AUC· uses extra data· 2021-02-02
0.975
best: 0.981 (PSLA (Ensemble))
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243
Audio ClassificationonAudioSet
Test mAP· uses extra data· 2021-02-02
0.443
best: 0.558 (OmniVec2)
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243
Audio ClassificationonAudioSet
d-prime· uses extra data· 2021-02-02
2.778
best: 2.936 (PSLA (Ensemble))
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243

Methodology3 results

ClassificationonAudioSet
AUC· uses extra data· 2021-02-02
0.975
best: 0.981 (PSLA (Ensemble))
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243
ClassificationonAudioSet
Test mAP· uses extra data· 2021-02-02
0.443
best: 0.558 (OmniVec2)
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243
ClassificationonAudioSet
d-prime· uses extra data· 2021-02-02
2.778
best: 2.936 (PSLA (Ensemble))
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation arXiv:2102.01243