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Models/HP (ViT-S/8)

HP (ViT-S/8)

Reported on 12 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical4 results

  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2023-03-27
    75.6
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2023-03-27
    42.7
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Semantic SegmentationonCOCO-Stuff-27
    Clustering [Accuracy]· 2023-03-27
    57.2
    best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Semantic SegmentationonCOCO-Stuff-27
    Clustering [mIoU]· 2023-03-27
    24.6
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014

Computer Vision4 results

  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2023-03-27
    75.6
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2023-03-27
    42.7
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Clustering [Accuracy]· 2023-03-27
    57.2
    best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Clustering [mIoU]· 2023-03-27
    24.6
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014

Audio4 results

  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2023-03-27
    75.6
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2023-03-27
    42.7
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • 10-shot image generationonCOCO-Stuff-27
    Clustering [Accuracy]· 2023-03-27
    57.2
    best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014
  • 10-shot image generationonCOCO-Stuff-27
    Clustering [mIoU]· 2023-03-27
    24.6
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Leveraging Hidden Positives for Unsupervised Semantic SegmentationarXiv:2303.15014