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Models/PCN (ResNet-50)

PCN (ResNet-50)

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Methodology4 results

Few-Shot LearningonPASCAL-5i (5-Shot)
Mean Base and Novel· 2022-10-15
58.47
best: 66.27 (VisualPromptGFSS)
SOTA
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290
Meta-LearningonPASCAL-5i (5-Shot)
Mean Base and Novel· 2022-10-15
58.47
best: 66.27 (VisualPromptGFSS)
SOTA
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-10-15
59.66
best: 89.8 (SegGPT (ViT))
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-10-15
59.66
best: 89.8 (SegGPT (ViT))
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290

Computer Vision2 results

Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean Base and Novel· 2022-10-15
58.47
best: 66.27 (VisualPromptGFSS)
SOTA
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2022-10-15
59.66
best: 89.8 (SegGPT (ViT))
Prediction Calibration for Generalized Few-shot Semantic Segmentation arXiv:2210.08290