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Models/BTS

BTS

Reported on 16 benchmarks across 6 tasks · 3 papers · 10 SOTA

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

Methodology7 results

  • ClassificationonICBHI Respiratory Sound Database
    ICBHI Score· 2024-06-10
    63.54
    best: 65.53 (ADD)
    SOTA
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786
  • ClassificationonICBHI Respiratory Sound Database
    Sensitivity· 2024-06-10
    45.67
    best: 48.21 (BEATs (CE))
    SOTA
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786
  • 3DonNYU-Depth V2
    Delta < 1.25^3· 2019-07-24
    0.995
    best: 1 (HybridDepth)
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • 3DonNYU-Depth V2
    RMSE· 2019-07-24
    0.392
    best: 0.013 (Defocus/DepthNet (Normalized))
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • 3DonKITTI Eigen split
    absolute relative error· 2019-07-24
    0.064
    best: 0.029 (SPIDepth)
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • ClassificationonICBHI Respiratory Sound Database
    Specificity· 2024-06-10
    81.4
    best: 85.13 (ADD)
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786
  • 3DonNYU-Depth V2
    RMS· 2019-07-24
    0.407
    best: 0.792 (PAD-Net)
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326

Computer Vision4 results

  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^3· 2019-07-24
    0.995
    best: 1 (HybridDepth)
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • Depth EstimationonNYU-Depth V2
    RMSE· 2019-07-24
    0.392
    best: 0.013 (Defocus/DepthNet (Normalized))
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • Depth EstimationonKITTI Eigen split
    absolute relative error· 2019-07-24
    0.064
    best: 0.029 (SPIDepth)
    SOTA
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326
  • Depth EstimationonNYU-Depth V2
    RMS· 2019-07-24
    0.407
    best: 0.792 (PAD-Net)
    From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationarXiv:1907.10326

Audio3 results

  • Audio ClassificationonICBHI Respiratory Sound Database
    ICBHI Score· 2024-06-10
    63.54
    best: 65.53 (ADD)
    SOTA
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786
  • Audio ClassificationonICBHI Respiratory Sound Database
    Sensitivity· 2024-06-10
    45.67
    best: 48.21 (BEATs (CE))
    SOTA
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786
  • Audio ClassificationonICBHI Respiratory Sound Database
    Specificity· 2024-06-10
    81.4
    best: 85.13 (ADD)
    BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound ClassificationarXiv:2406.06786

Natural Language Processing1 result

  • Relation ExtractiononWebNLG 3.0
    F1· 2022-11-18
    68.2
    best: 72.3 (ReGen (Ours) T2G.CE)
    Knowledge Graph Generation From TextarXiv:2211.10511

Medical1 result

  • Information ExtractiononWebNLG 3.0
    F1· 2022-11-18
    68.2
    best: 72.3 (ReGen (Ours) T2G.CE)
    Knowledge Graph Generation From TextarXiv:2211.10511