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Models/IMR-HSNet (ResNet-50)

IMR-HSNet (ResNet-50)

Reported on 9 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.

Methodology6 results

  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean IoU· 2023-03-10
    44.4
    best: 67.9 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2023-03-10
    61.1
    best: 83.2 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean IoU· 2023-03-10
    42.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Meta-LearningonCOCO-20i (5-shot)
    Mean IoU· 2023-03-10
    44.4
    best: 67.9 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· 2023-03-10
    61.1
    best: 83.2 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Meta-LearningonCOCO-20i (1-shot)
    Mean IoU· 2023-03-10
    42.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646

Computer Vision3 results

  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean IoU· 2023-03-10
    44.4
    best: 67.9 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· 2023-03-10
    61.1
    best: 83.2 (SegGPT (ViT))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean IoU· 2023-03-10
    42.4
    best: 59.4 (PGMA-Net (ResNet-101))
    Iterative Few-shot Semantic Segmentation from Image Label TextarXiv:2303.05646