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Models/CyCTR (ResNet-101)

CyCTR (ResNet-101)

Reported on 12 benchmarks across 3 tasks · 1 paper

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

Methodology8 results

  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2021-06-04
    64.3
    best: 83.2 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 31.5 (PPNet (ResNet-50))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2021-06-04
    66.6
    best: 89.8 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 43 (FWB (ResNet-101))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2021-06-04
    64.3
    best: 83.2 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Meta-LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 31.5 (PPNet (ResNet-50))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2021-06-04
    66.6
    best: 89.8 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Meta-LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 43 (FWB (ResNet-101))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320

Computer Vision4 results

  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· 2021-06-04
    64.3
    best: 83.2 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 31.5 (PPNet (ResNet-50))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean IoU· 2021-06-04
    66.6
    best: 89.8 (SegGPT (ViT))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2021-06-04
    15.4
    best: 43 (FWB (ResNet-101))
    Few-Shot Segmentation via Cycle-Consistent TransformerarXiv:2106.02320