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Models/PFENet (ResNet-50)

PFENet (ResNet-50)

Reported on 18 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.

Methodology12 results

Few-Shot LearningonPASCAL-5i (1-Shot)
FB-IoU· 2020-08-04
73.3
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2020-08-04
60.8
best: 83.2 (SegGPT (ViT))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2020-08-04
73.9
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2020-08-04
73.3
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2020-08-04
60.8
best: 83.2 (SegGPT (ViT))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2020-08-04
73.9
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv: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 Segmentation arXiv:2008.01449
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2020-08-04
61.9
best: 89.8 (SegGPT (ViT))
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv: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 Segmentation arXiv: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 Segmentation arXiv:2008.01449
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2020-08-04
61.9
best: 89.8 (SegGPT (ViT))
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv: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 Segmentation arXiv:2008.01449

Computer Vision6 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2020-08-04
73.3
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2020-08-04
60.8
best: 83.2 (SegGPT (ViT))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv:2008.01449
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2020-08-04
73.9
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv: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 Segmentation arXiv:2008.01449
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2020-08-04
61.9
best: 89.8 (SegGPT (ViT))
Prior Guided Feature Enrichment Network for Few-Shot Segmentation arXiv: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 Segmentation arXiv:2008.01449