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Models/SG-One (VGG-16)

SG-One (VGG-16)

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 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 (1-Shot)
Mean IoU· 2018-10-22
46.3
best: 83.2 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2018-10-22
47.1
best: 89.8 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2018-10-22
46.3
best: 83.2 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2018-10-22
47.1
best: 89.8 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091

Computer Vision2 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2018-10-22
46.3
best: 83.2 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2018-10-22
47.1
best: 89.8 (SegGPT (ViT))
SOTA
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation arXiv:1810.09091