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Models/DeLA

DeLA

Reported on 29 benchmarks across 5 tasks · 1 paper · 3 SOTA

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

Computer Vision21 results

  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-08-31
    90.4
    best: 92.64 (Mamba3D)
    SOTA
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-08-31
    90.4
    best: 92.64 (Mamba3D)
    SOTA
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-08-31
    90.4
    best: 92.64 (Mamba3D)
    SOTA
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Mean Accuracy· 2023-08-31
    89.3
    best: 93.8 (GPSFormer)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy· 2023-08-31
    90.4
    best: 97.2 (OmniVec2)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonModelNet40
    Mean Accuracy· 2023-08-31
    92.2
    best: 92.4 (ULIP + PointMLP)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2023-08-31
    94
    best: 95.3 (PointGST)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    GFLOPs· 2023-08-31
    1.5
    best: 45 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Number of params (M)· 2023-08-31
    5.3
    best: 34.2 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonScanObjectNN
    Mean Accuracy· 2023-08-31
    89.3
    best: 93.8 (GPSFormer)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· 2023-08-31
    90.4
    best: 97.2 (OmniVec2)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonModelNet40
    Mean Accuracy· 2023-08-31
    92.2
    best: 92.4 (ULIP + PointMLP)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2023-08-31
    94
    best: 95.3 (PointGST)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonScanObjectNN
    GFLOPs· 2023-08-31
    1.5
    best: 45 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ClassificationonScanObjectNN
    Number of params (M)· 2023-08-31
    5.3
    best: 34.2 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononScanObjectNN
    Mean Accuracy· 2023-08-31
    89.3
    best: 93.8 (GPSFormer)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· 2023-08-31
    90.4
    best: 97.2 (OmniVec2)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononModelNet40
    Mean Accuracy· 2023-08-31
    92.2
    best: 92.4 (ULIP + PointMLP)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2023-08-31
    94
    best: 95.3 (PointGST)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononScanObjectNN
    GFLOPs· 2023-08-31
    1.5
    best: 45 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 3D Point Cloud ReconstructiononScanObjectNN
    Number of params (M)· 2023-08-31
    5.3
    best: 34.2 (PCM)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532

Medical4 results

  • Semantic SegmentationonScanNet
    val mIoU· 2023-08-31
    75.9
    best: 80.5 (DITR)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Semantic SegmentationonS3DIS Area5
    mAcc· 2023-08-31
    80
    best: 81.6 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Semantic SegmentationonS3DIS Area5
    mIoU· 2023-08-31
    74.1
    best: 76 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • Semantic SegmentationonS3DIS Area5
    oAcc· 2023-08-31
    92.2
    best: 93 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532

Audio4 results

  • 10-shot image generationonScanNet
    val mIoU· 2023-08-31
    75.9
    best: 80.5 (DITR)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 10-shot image generationonS3DIS Area5
    mAcc· 2023-08-31
    80
    best: 81.6 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 10-shot image generationonS3DIS Area5
    mIoU· 2023-08-31
    74.1
    best: 76 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532
  • 10-shot image generationonS3DIS Area5
    oAcc· 2023-08-31
    92.2
    best: 93 (Sonata + PTv3)
    Decoupled Local Aggregation for Point Cloud LearningarXiv:2308.16532