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Models/Baseline Model (Semi-Supervised)

Baseline Model (Semi-Supervised)

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical3 results

  • Semantic SegmentationonThe ULS23 Challenge Test Set
    Long-Axis SMAPE· 2024-06-07
    0.112
    SOTA
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231
  • Semantic SegmentationonThe ULS23 Challenge Test Set
    Short-Axis SMAPE· 2024-06-07
    0.12
    SOTA
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231
  • Semantic SegmentationonThe ULS23 Challenge Test Set
    ChallengeScore· 2024-06-07
    0.729
    best: 0.735 (U-Mamba)
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231

Audio3 results

  • 10-shot image generationonThe ULS23 Challenge Test Set
    Long-Axis SMAPE· 2024-06-07
    0.112
    SOTA
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231
  • 10-shot image generationonThe ULS23 Challenge Test Set
    Short-Axis SMAPE· 2024-06-07
    0.12
    SOTA
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231
  • 10-shot image generationonThe ULS23 Challenge Test Set
    ChallengeScore· 2024-06-07
    0.729
    best: 0.735 (U-Mamba)
    The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyarXiv:2406.05231