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Models/HCL (ViT-S/16)

HCL (ViT-S/16)

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
    43.2
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • Semantic SegmentationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    72.6
    best: 75.7 (HCL (ViT-S/8))
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    76.7
    best: 77.3 (HCL (ViT-S/8))
  • Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    45.8
    best: 47.4 (HCL (ViT-S/8))

Computer Vision4 results

  • Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
    Clustering [mIoU]· uses extra data
    43.2
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    72.6
    best: 75.7 (HCL (ViT-S/8))
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    76.7
    best: 77.3 (HCL (ViT-S/8))
  • Unsupervised Semantic SegmentationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    45.8
    best: 47.4 (HCL (ViT-S/8))

Audio4 results

  • 10-shot image generationonPASCAL VOC 2012 val
    Clustering [mIoU]· uses extra data
    43.2
    best: 53.4 (CAUSE (iBOT, ViT-B/16))
  • 10-shot image generationonPASCAL VOC 2012 val
    Linear Classifier [mIoU]· uses extra data
    72.6
    best: 75.7 (HCL (ViT-S/8))
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [Accuracy]
    76.7
    best: 77.3 (HCL (ViT-S/8))
  • 10-shot image generationonCOCO-Stuff-27
    Linear Classifier [mIoU]
    45.8
    best: 47.4 (HCL (ViT-S/8))