Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SiGCN (ResNet-50)

SiGCN (ResNet-50)

Reported on 24 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.

Methodology16 results

Few-Shot LearningonCOCO-20i (5-shot)
FB-IoU· 2023-01-09
66.2
best: 79.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonCOCO-20i (5-shot)
Mean IoU· 2023-01-09
48
best: 67.9 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonPASCAL-5i (1-Shot)
FB-IoU· 2023-01-09
77.5
best: 86.2 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2023-01-09
65.3
best: 83.2 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonCOCO-20i (1-shot)
FB-IoU· 2023-01-09
62.7
best: 78.5 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2023-01-09
41.4
best: 59.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2023-01-09
78.3
best: 86.9 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2023-01-09
68.5
best: 89.8 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonCOCO-20i (5-shot)
FB-IoU· 2023-01-09
66.2
best: 79.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonCOCO-20i (5-shot)
Mean IoU· 2023-01-09
48
best: 67.9 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2023-01-09
77.5
best: 86.2 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2023-01-09
65.3
best: 83.2 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonCOCO-20i (1-shot)
FB-IoU· 2023-01-09
62.7
best: 78.5 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2023-01-09
41.4
best: 59.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2023-01-09
78.3
best: 86.9 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2023-01-09
68.5
best: 89.8 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194

Computer Vision8 results

Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
FB-IoU· 2023-01-09
66.2
best: 79.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
Mean IoU· 2023-01-09
48
best: 67.9 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2023-01-09
77.5
best: 86.2 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2023-01-09
65.3
best: 83.2 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
FB-IoU· 2023-01-09
62.7
best: 78.5 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2023-01-09
41.4
best: 59.4 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2023-01-09
78.3
best: 86.9 (PGMA-Net (ResNet-101))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2023-01-09
68.5
best: 89.8 (SegGPT (ViT))
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network arXiv:2301.03194