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Models/CCA (ResNet-50)

CCA (ResNet-50)

Reported on 6 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.

Methodology4 results

Few-Shot LearningonCOCO-20i (1-shot)
Mean Base and Novel· 2023-03-24
27.86
best: 36.05 (VisualPromptGFSS)
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2023-03-24
37.48
best: 59.4 (PGMA-Net (ResNet-101))
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724
Meta-LearningonCOCO-20i (1-shot)
Mean Base and Novel· 2023-03-24
27.86
best: 36.05 (VisualPromptGFSS)
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2023-03-24
37.48
best: 59.4 (PGMA-Net (ResNet-101))
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724

Computer Vision2 results

Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean Base and Novel· 2023-03-24
27.86
best: 36.05 (VisualPromptGFSS)
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2023-03-24
37.48
best: 59.4 (PGMA-Net (ResNet-101))
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation arXiv:2303.13724