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Models/BEATs (CE)

BEATs (CE)

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Audio3 results

Audio ClassificationonICBHI Respiratory Sound Database
Sensitivity· uses extra data· 2025-05-28
48.21
SOTA
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834
Audio ClassificationonICBHI Respiratory Sound Database
ICBHI Score· uses extra data· 2025-05-28
63.49
best: 65.53 (ADD)
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834
Audio ClassificationonICBHI Respiratory Sound Database
Specificity· uses extra data· 2025-05-28
78.77
best: 85.13 (ADD)
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834

Methodology3 results

ClassificationonICBHI Respiratory Sound Database
Sensitivity· uses extra data· 2025-05-28
48.21
SOTA
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834
ClassificationonICBHI Respiratory Sound Database
ICBHI Score· uses extra data· 2025-05-28
63.49
best: 65.53 (ADD)
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834
ClassificationonICBHI Respiratory Sound Database
Specificity· uses extra data· 2025-05-28
78.77
best: 85.13 (ADD)
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses arXiv:2505.23834