Affiliation:
1. DeepMind, 5 New Street Square, London EC4A 3TW, UK.
Abstract
A scene-internalizing computer program
To train a computer to “recognize” elements of a scene supplied by its visual sensors, computer scientists typically use millions of images painstakingly labeled by humans. Eslami
et al.
developed an artificial vision system, dubbed the Generative Query Network (GQN), that has no need for such labeled data. Instead, the GQN first uses images taken from different viewpoints and creates an abstract description of the scene, learning its essentials. Next, on the basis of this representation, the network predicts what the scene would look like from a new, arbitrary viewpoint.
Science
, this issue p.
1204
Publisher
American Association for the Advancement of Science (AAAS)
Reference51 articles.
1. A. Krizhevsky I. Sutskever G. E. Hinton “ImageNet classification with deep convolutional neural networks” in Advances in Neural Information Processing Systems 25 (NIPS 2012) F. Pereira C. J. C. Burges L. Bottou K. Q. Weinberger Eds. (Curran Associates 2012) pp. 1097–1105.
2. B. Zhou A. Lapedriza J. Xiao A. Torralba A. Oliva “Learning deep features for scene recognition using places database” in Advances in Neural Information Processing Systems 27 (NIPS 2014) Z. Ghahramani M. Welling C. Cortes N. D. Lawrence K. Q. Weinberger Eds. (Curran Associates 2014) pp. 487–495.
3. S. Ren K. He R. Girshick J. Sun “Faster R-CNN: Towards real-time object detection with region proposal networks” in Advances in Neural Information Processing Systems 28 (NIPS 2015) C. Cortes N. D. Lawrence D. D. Lee M. Sugiyama R. Garnett Eds. (Curran Associates 2015) pp. 91–99.
4. R. Girshick J. Donahue T. Darrell J. Malik “Rich feature hierarchies for accurate object detection and semantic segmentation” in Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE 2014) pp. 580–587.
5. M. C. Mozer R. S. Zemel M. Behrmann “Learning to segment images using dynamic feature binding” in Advances in Neural Information Processing Systems 4 (NIPS 1991) J. E. Moody S. J. Hanson R. P. Lippmann Eds. (Morgan-Kaufmann 1992) pp. 436–443.
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