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Models/LTM

LTM

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· 2019-10-14
57
best: 83.2 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-10-14
60.6
best: 89.8 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2019-10-14
57
best: 83.2 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-10-14
60.6
best: 89.8 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886

Computer Vision2 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2019-10-14
57
best: 83.2 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2019-10-14
60.6
best: 89.8 (SegGPT (ViT))
SOTA
A New Local Transformation Module for Few-shot Segmentation arXiv:1910.05886