Adela Barriuso — accepted AI-conference papers

2021

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort

Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso +2

CVPR 2021poster

We introduce DatasetGAN: an automatic procedure to generate massive datasets of high-quality semantically segmented images requiring minimal human effort. Current deep networks are extremely data-hungry, benefiting from training on large-scale datasets, which are time-consuming to annotate. Our meth…

Cited by 393 PDF ↗code ↗Scholar ↗

2017

Scene Parsing Through ADE20K Dataset

Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba

CVPR 2017poster

Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision. Despite the community's efforts in data collection, there are still few image datasets covering a wide range of scenes and object categories with dense and detailed annotations…

Cited by 4105 PDF ↗Scholar ↗