computer-vision-13
Unsupervised Semantic Segmentation
3260 papers • 126 benchmarks • 313 datasets
Models that learn to segment each image (i.e. assign a class to every pixel) without seeing the ground truth labels. ( Image credit: SegSort: Segmentation by Discriminative Sorting of Segments )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in unsupervised-semantic-segmentation-13
Trend
Dataset
Best Model
Actions
COCO-Stuff-27
COCO-Stuff-27
PASCAL VOC 2012 val
PASCAL VOC 2012 val
Cityscapes test
Libraries
iUse these libraries to find unsupervised-semantic-segmentation-13 models and implementations
