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Models/HCL (ViT-S/8)

HCL (ViT-S/8)

Reported on 12 benchmarks across 3 tasks

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

Medical4 results

  • Semantic SegmentationonPASCAL VOC 2012 val
    Clustering [mIoU]· uses extra data
    46.3
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • Semantic SegmentationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    75.7
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    77.3
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    47.4

Computer Vision4 results

  • Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
    Clustering [mIoU]· uses extra data
    46.3
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    75.7
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    77.3
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    47.4

Audio4 results

  • 10-shot image generationonPASCAL VOC 2012 val
    Clustering [mIoU]· uses extra data
    46.3
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • 10-shot image generationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    75.7
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    77.3
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    47.4