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Models/PANet (VGG-16)

PANet (VGG-16)

Reported on 24 benchmarks across 3 tasks · 1 paper · 18 SOTA

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· 2019-08-18
63.5
best: 79.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonCOCO-20i (5-shot)
Mean IoU· 2019-08-18
29.7
best: 67.9 (SegGPT (ViT))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonPASCAL-5i (1-Shot)
FB-IoU· 2019-08-18
66.5
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonCOCO-20i (1-shot)
FB-IoU· 2019-08-18
59.2
best: 78.5 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2019-08-18
20.9
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2019-08-18
70.7
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonCOCO-20i (5-shot)
FB-IoU· 2019-08-18
63.5
best: 79.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonCOCO-20i (5-shot)
Mean IoU· 2019-08-18
29.7
best: 67.9 (SegGPT (ViT))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2019-08-18
66.5
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonCOCO-20i (1-shot)
FB-IoU· 2019-08-18
59.2
best: 78.5 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2019-08-18
20.9
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2019-08-18
70.7
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2019-08-18
48.1
best: 83.2 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-08-18
55.7
best: 89.8 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2019-08-18
48.1
best: 83.2 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-08-18
55.7
best: 89.8 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391

Computer Vision8 results

Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
FB-IoU· 2019-08-18
63.5
best: 79.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
Mean IoU· 2019-08-18
29.7
best: 67.9 (SegGPT (ViT))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2019-08-18
66.5
best: 86.2 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
FB-IoU· 2019-08-18
59.2
best: 78.5 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2019-08-18
20.9
best: 59.4 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2019-08-18
70.7
best: 86.9 (PGMA-Net (ResNet-101))
SOTA
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2019-08-18
48.1
best: 83.2 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2019-08-18
55.7
best: 89.8 (SegGPT (ViT))
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment arXiv:1908.06391