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Models/CW-BASS (DeepLab v3+ with ResNet-50)

CW-BASS (DeepLab v3+ with ResNet-50)

Reported on 10 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.

Medical5 results

  • Semantic SegmentationonPascal VOC 2012 50% labeled
    Validation mIoU· 2025-02-21
    77.15
    best: 81.13 (AllSpark)
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • Semantic SegmentationonPASCAL VOC 2012 92 labeled
    Validation mIoU· 2025-02-21
    72.8
    best: 87 (SemiOVS (w/ SemiVL, ViT-B/16))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • Semantic SegmentationonPASCAL VOC 2012 25% labeled
    Validation mIoU· 2025-02-21
    76.2
    best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • Semantic SegmentationonCityscapes 100 samples labeled
    Validation mIoU· 2025-02-21
    65.87
    best: 76.2 (SemiVL (ViT-B/16))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • Semantic SegmentationonCityscapes 6.25% labeled
    Validation mIoU· 2025-02-21
    75
    best: 83.6 (UniMatch V2 (DINOv2-B))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152

Audio5 results

  • 10-shot image generationonPascal VOC 2012 50% labeled
    Validation mIoU· 2025-02-21
    77.15
    best: 81.13 (AllSpark)
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • 10-shot image generationonPASCAL VOC 2012 92 labeled
    Validation mIoU· 2025-02-21
    72.8
    best: 87 (SemiOVS (w/ SemiVL, ViT-B/16))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • 10-shot image generationonPASCAL VOC 2012 25% labeled
    Validation mIoU· 2025-02-21
    76.2
    best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • 10-shot image generationonCityscapes 100 samples labeled
    Validation mIoU· 2025-02-21
    65.87
    best: 76.2 (SemiVL (ViT-B/16))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152
  • 10-shot image generationonCityscapes 6.25% labeled
    Validation mIoU· 2025-02-21
    75
    best: 83.6 (UniMatch V2 (DINOv2-B))
    Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationarXiv:2502.15152