computer-vision-20
Weakly-Supervised Semantic Segmentation
3260 papers • 126 benchmarks • 313 datasets
The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image. ( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in weakly-supervised-semantic-segmentation-20
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PASCAL VOC 2012 val
PASCAL VOC 2012 val
PASCAL VOC 2012 test
PASCAL VOC 2012 test
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iUse these libraries to find weakly-supervised-semantic-segmentation-20 models and implementations
2 papers 181
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