The Reasonable Effectiveness of Synthetic Visual Data

@article{Gaidon2018TheRE,
  title={The Reasonable Effectiveness of Synthetic Visual Data},
  author={Adrien Gaidon and Antonio M. L{\'o}pez and Florent Perronnin},
  journal={International Journal of Computer Vision},
  year={2018},
  volume={126},
  pages={899-901}
}
The recent successes in many visual recognition tasks, such as image classification, object detection, and semantic segmentation can be attributed in large part to three factors: (i) advances in end-to-end trainable deep learning models (LeCun 2015), (ii) the progress of computing hardware, and (iii) the introduction of increasingly larger labeled datasets such as PASCAL VOC (Everingham et al. 2010), KITTI (Geiger et al. 2012), ImageNet (Russakovsky et al. 2015), MS-COCO (Lin et al. 2014), and… CONTINUE READING
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