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Models/MSANet (ResNet-101)

MSANet (ResNet-101)

Reported on 24 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Methodology16 results

  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2022-06-20
    69.13
    best: 83.2 (SegGPT (ViT))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean IoU· 2022-06-20
    50.45
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    FB-IoU· 2022-06-20
    84.3
    best: 86.9 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2022-06-20
    69.13
    best: 83.2 (SegGPT (ViT))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonCOCO-20i (1-shot)
    Mean IoU· 2022-06-20
    50.45
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonPASCAL-5i (5-Shot)
    FB-IoU· 2022-06-20
    84.3
    best: 86.9 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonCOCO-20i (5-shot)
    FB-IoU· 2022-06-20
    56.8
    best: 79.4 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean IoU· 2022-06-20
    56.3
    best: 67.9 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    FB-IoU· 2022-06-20
    80.38
    best: 86.2 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonCOCO-20i (1-shot)
    FB-IoU· 2022-06-20
    51.09
    best: 78.5 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2022-06-20
    73.99
    best: 89.8 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonCOCO-20i (5-shot)
    FB-IoU· 2022-06-20
    56.8
    best: 79.4 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonCOCO-20i (5-shot)
    Mean IoU· 2022-06-20
    56.3
    best: 67.9 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonPASCAL-5i (1-Shot)
    FB-IoU· 2022-06-20
    80.38
    best: 86.2 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonCOCO-20i (1-shot)
    FB-IoU· 2022-06-20
    51.09
    best: 78.5 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean IoU· 2022-06-20
    73.99
    best: 89.8 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667

Computer Vision8 results

  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· 2022-06-20
    69.13
    best: 83.2 (SegGPT (ViT))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean IoU· 2022-06-20
    50.45
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    FB-IoU· 2022-06-20
    84.3
    best: 86.9 (PGMA-Net (ResNet-101))
    SOTA
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    FB-IoU· 2022-06-20
    56.8
    best: 79.4 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean IoU· 2022-06-20
    56.3
    best: 67.9 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    FB-IoU· 2022-06-20
    80.38
    best: 86.2 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    FB-IoU· 2022-06-20
    51.09
    best: 78.5 (PGMA-Net (ResNet-101))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean IoU· 2022-06-20
    73.99
    best: 89.8 (SegGPT (ViT))
    MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationarXiv:2206.09667