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Models/PPNet (ResNet-50)

PPNet (ResNet-50)

Reported on 27 benchmarks across 3 tasks · 1 paper · 18 SOTA

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

Methodology18 results

  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean IoU· 2020-07-13
    38.5
    best: 67.9 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonCOCO-20i (2-way 1-shot)
    mIoU· 2020-07-13
    20.4
    best: 34.6 (Label Anything (Vit-B/16-SAM))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean IoU· 2020-07-13
    29
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2020-07-13
    62
    best: 89.8 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonCOCO-20i (5-shot)
    Mean IoU· 2020-07-13
    38.5
    best: 67.9 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonCOCO-20i (2-way 1-shot)
    mIoU· 2020-07-13
    20.4
    best: 34.6 (Label Anything (Vit-B/16-SAM))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonCOCO-20i (1-shot)
    Mean IoU· 2020-07-13
    29
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2020-07-13
    62
    best: 89.8 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2020-07-13
    51.5
    best: 83.2 (SegGPT (ViT))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 43 (FWB (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2020-07-13
    51.5
    best: 83.2 (SegGPT (ViT))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Meta-LearningonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 43 (FWB (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309

Computer Vision9 results

  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean IoU· 2020-07-13
    38.5
    best: 67.9 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonCOCO-20i (2-way 1-shot)
    mIoU· 2020-07-13
    20.4
    best: 34.6 (Label Anything (Vit-B/16-SAM))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean IoU· 2020-07-13
    29
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean IoU· 2020-07-13
    62
    best: 89.8 (SegGPT (ViT))
    SOTA
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 47.7 (DCAMA (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· 2020-07-13
    51.5
    best: 83.2 (SegGPT (ViT))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    learnable parameters (million)· 2020-07-13
    31.5
    best: 43 (FWB (ResNet-101))
    Part-aware Prototype Network for Few-shot Semantic SegmentationarXiv:2007.06309