computer-vision-20
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).
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in semi-supervised-semantic-segmentation-20
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-20 models and implementations
3 papers 1,980
Datasets
No datasets available.
Subtasks
No subtasks available.
