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Models/PFENet (ResNet-101)

PFENet (ResNet-101)

Reported on 36 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.

Methodology24 results

  • Few-Shot LearningonCOCO-20i (5-shot)
    FB-IoU· 2020-08-04
    61.9
    best: 79.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean IoU· 2020-08-04
    37.4
    best: 67.9 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    FB-IoU· 2020-08-04
    72.9
    best: 86.2 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2020-08-04
    60.1
    best: 83.2 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 31.5 (PPNet (ResNet-50))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonCOCO-20i (1-shot)
    FB-IoU· 2020-08-04
    58.6
    best: 78.5 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean IoU· 2020-08-04
    32.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    FB-IoU· 2020-08-04
    73.5
    best: 86.9 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2020-08-04
    61.4
    best: 89.8 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 43 (FWB (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (5-shot)
    FB-IoU· 2020-08-04
    61.9
    best: 79.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (5-shot)
    Mean IoU· 2020-08-04
    37.4
    best: 67.9 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (1-Shot)
    FB-IoU· 2020-08-04
    72.9
    best: 86.2 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2020-08-04
    60.1
    best: 83.2 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 31.5 (PPNet (ResNet-50))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (1-shot)
    FB-IoU· 2020-08-04
    58.6
    best: 78.5 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (1-shot)
    Mean IoU· 2020-08-04
    32.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (5-Shot)
    FB-IoU· 2020-08-04
    73.5
    best: 86.9 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2020-08-04
    61.4
    best: 89.8 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Meta-LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 43 (FWB (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449

Computer Vision12 results

  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    FB-IoU· 2020-08-04
    61.9
    best: 79.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean IoU· 2020-08-04
    37.4
    best: 67.9 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    FB-IoU· 2020-08-04
    72.9
    best: 86.2 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· 2020-08-04
    60.1
    best: 83.2 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 31.5 (PPNet (ResNet-50))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    FB-IoU· 2020-08-04
    58.6
    best: 78.5 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean IoU· 2020-08-04
    32.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 47.7 (DCAMA (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    FB-IoU· 2020-08-04
    73.5
    best: 86.9 (PGMA-Net (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean IoU· 2020-08-04
    61.4
    best: 89.8 (SegGPT (ViT))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-08-04
    10.3
    best: 43 (FWB (ResNet-101))
    Prior Guided Feature Enrichment Network for Few-Shot SegmentationarXiv:2008.01449