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Found 4 papers, 2 papers with code
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
By training an effective feature segmentation architecture on top of BigGAN, we turn BigGAN into a labeled dataset generator.
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
To showcase the power of our approach, we generated datasets for 7 image segmentation tasks which include pixel-level labels for 34 human face parts, and 32 car parts.
Scene Parsing Through ADE20K Dataset
A novel network design called Cascade Segmentation Module is proposed to parse a scene into stuff, objects, and object parts in a cascade and improve over the baselines.
Semantic Understanding of Scenes through the ADE20K Dataset
Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision.
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