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BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. (arXiv:2201.04684v1 [cs.CV])
Jan. 14, 2022, 2:10 a.m. | Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba
cs.CV updates on arXiv.org arxiv.org
Annotating images with pixel-wise labels is a time-consuming and costly
process. Recently, DatasetGAN showcased a promising alternative - to synthesize
a large labeled dataset via a generative adversarial network (GAN) by
exploiting a small set of manually labeled, GAN-generated images. Here, we
scale DatasetGAN to ImageNet scale of class diversity. We take image samples
from the class-conditional generative model BigGAN trained on ImageNet, and
manually annotate 5 images per class, for all 1k classes. By training an
effective feature segmentation …
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