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Models/BAM (SVF, ResNet-50)

BAM (SVF, ResNet-50)

Reported on 18 benchmarks across 3 tasks · 1 paper · 12 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· 2022-06-13
80.13
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2022-06-13
68.95
best: 83.2 (SegGPT (ViT))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2022-06-13
48.47
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2022-06-13
83.17
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2022-06-13
80.13
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2022-06-13
68.95
best: 83.2 (SegGPT (ViT))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2022-06-13
48.47
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2022-06-13
83.17
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot LearningonCOCO-20i (5-shot)
Mean IoU· 2022-06-13
53.87
best: 67.9 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-06-13
72.28
best: 89.8 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonCOCO-20i (5-shot)
Mean IoU· 2022-06-13
53.87
best: 67.9 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-06-13
72.28
best: 89.8 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122

Computer Vision6 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2022-06-13
80.13
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2022-06-13
68.95
best: 83.2 (SegGPT (ViT))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2022-06-13
48.47
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2022-06-13
83.17
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
Mean IoU· 2022-06-13
53.87
best: 67.9 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2022-06-13
72.28
best: 89.8 (SegGPT (ViT))
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning arXiv:2206.06122