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Models/BCM (ResNet-50)

BCM (ResNet-50)

Reported on 9 benchmarks across 3 tasks

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

Methodology6 results

  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean Base and Novel
    63.29
    best: 66.27 (VisualPromptGFSS)
  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean Base and Novel
    40.24
    best: 42.48 (VisualPromptGFSS)
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean Base and Novel
    33.85
    best: 36.05 (VisualPromptGFSS)
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean Base and Novel
    63.29
    best: 66.27 (VisualPromptGFSS)
  • Meta-LearningonCOCO-20i (5-shot)
    Mean Base and Novel
    40.24
    best: 42.48 (VisualPromptGFSS)
  • Meta-LearningonCOCO-20i (1-shot)
    Mean Base and Novel
    33.85
    best: 36.05 (VisualPromptGFSS)

Computer Vision3 results

  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean Base and Novel
    63.29
    best: 66.27 (VisualPromptGFSS)
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean Base and Novel
    40.24
    best: 42.48 (VisualPromptGFSS)
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean Base and Novel
    33.85
    best: 36.05 (VisualPromptGFSS)