computer-vision-13
Semi-Supervised Semantic Segmentation
3260 papers • 126 benchmarks • 313 datasets
Models that are trained with a small number of labeled examples and a large number of unlabeled examples and whose aim is to learn to segment an image (i.e. assign a class to every pixel).
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Benchmarks
These leaderboards are used to track progress in semi-supervised-semantic-segmentation-13
Trend
Dataset
Best Model
Actions
Pascal VOC 2012 12.5% labeled
Pascal VOC 2012 12.5% labeled
Cityscapes 12.5% labeled
Cityscapes 12.5% labeled
Libraries
iUse these libraries to find semi-supervised-semantic-segmentation-13 models and implementations
3 papers 1,980
Datasets
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No subtasks available.
