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Models/HSNet (ResNet-50)

HSNet (ResNet-50)

Reported on 42 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.

Methodology28 results

Few-Shot LearningonFSS-1000 (5-shot)
Mean IoU· 2021-04-04
87.8
best: 91.7 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (5-shot)
FB-IoU· 2021-04-04
70.7
best: 79.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (5-shot)
Mean IoU· 2021-04-04
46.9
best: 67.9 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (5-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonFSS-1000 (1-shot)
Mean IoU· 2021-04-04
85.5
best: 90.8 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (1-Shot)
FB-IoU· 2021-04-04
76.7
best: 86.2 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2021-04-04
64
best: 83.2 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (1-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 31.5 (PPNet (ResNet-50))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (1-shot)
FB-IoU· 2021-04-04
68.2
best: 78.5 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2021-04-04
39.2
best: 59.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonCOCO-20i (1-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2021-04-04
80.6
best: 86.9 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2021-04-04
69.5
best: 89.8 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot LearningonPASCAL-5i (5-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 43 (FWB (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonFSS-1000 (5-shot)
Mean IoU· 2021-04-04
87.8
best: 91.7 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (5-shot)
FB-IoU· 2021-04-04
70.7
best: 79.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (5-shot)
Mean IoU· 2021-04-04
46.9
best: 67.9 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (5-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonFSS-1000 (1-shot)
Mean IoU· 2021-04-04
85.5
best: 90.8 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2021-04-04
76.7
best: 86.2 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2021-04-04
64
best: 83.2 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (1-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 31.5 (PPNet (ResNet-50))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (1-shot)
FB-IoU· 2021-04-04
68.2
best: 78.5 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2021-04-04
39.2
best: 59.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonCOCO-20i (1-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2021-04-04
80.6
best: 86.9 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2021-04-04
69.5
best: 89.8 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Meta-LearningonPASCAL-5i (5-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 43 (FWB (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538

Computer Vision14 results

Few-Shot Semantic SegmentationonFSS-1000 (5-shot)
Mean IoU· 2021-04-04
87.8
best: 91.7 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
FB-IoU· 2021-04-04
70.7
best: 79.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
Mean IoU· 2021-04-04
46.9
best: 67.9 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonFSS-1000 (1-shot)
Mean IoU· 2021-04-04
85.5
best: 90.8 (DACM (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2021-04-04
76.7
best: 86.2 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2021-04-04
64
best: 83.2 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 31.5 (PPNet (ResNet-50))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
FB-IoU· 2021-04-04
68.2
best: 78.5 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2021-04-04
39.2
best: 59.4 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
learnable parameters (million)· 2021-04-04
2.5
best: 47.7 (DCAMA (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2021-04-04
80.6
best: 86.9 (PGMA-Net (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2021-04-04
69.5
best: 89.8 (SegGPT (ViT))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
learnable parameters (million)· 2021-04-04
2.5
best: 43 (FWB (ResNet-101))
Hypercorrelation Squeeze for Few-Shot Segmentation arXiv:2104.01538