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Models/STEGO (ViT-S/8)

STEGO (ViT-S/8)

Reported on 9 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.

Medical3 results

  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2022-03-16
    74.4
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2022-03-16
    38.3
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • Semantic SegmentationonCOCO-Stuff-27
    Clustering [mIoU]· 2022-03-16
    24.5
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414

Computer Vision3 results

  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2022-03-16
    74.4
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2022-03-16
    38.3
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Clustering [mIoU]· 2022-03-16
    24.5
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414

Audio3 results

  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [Accuracy]· 2022-03-16
    74.4
    best: 77.3 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [mIoU]· 2022-03-16
    38.3
    best: 47.4 (HCL (ViT-S/8))
    SOTA
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414
  • 10-shot image generationonCOCO-Stuff-27
    Clustering [mIoU]· 2022-03-16
    24.5
    best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
    Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesarXiv:2203.08414