Alex Wright
Abstract
Amid growing outcry over controversial online videos, tech firms grapple with how best to police online advertising.
- Abu-El-Haija, S., Kothari, N., Lee, J., Natsev, P., Toderici, G., Varadarajan, B., and Vijayanarasimhan, S. YouTube-8M: A Large-Scale Video Classification Benchmark. arxiv.org/abs/1609.08675Google Scholar
- Bickert, M. Hard Questions: How we Combat Terrorism, Facebook blog post, https://newsroom.fb.com/news/2017/06/how-we-counter-terrorism/Google Scholar
- Hegde, V., Zadeh, R. FusionNet: 3D Object Classification Using Multiple Data Representations, 3D Deep Learning Workshop at NIPS 2016. Barcelona, Spain, 2016. http://3ddl.cs.princeton.edu/2016/papers/Hegde_Zadeh.pdfGoogle Scholar
- Real, S., Shlens, J., Mazzocchi, S., Pan, X., and Vanhoucke, V. YouTube-Bounding Boxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. (preprint) Accepted at the Conference on Computer Vision and Pattern Recognition (CVPR) 2017. arXiv:1702.00824.Google Scholar
- Venugopalan, S., Xu, H., Donahue, J., Rohrbach, M., Mooney, R., and Saenko, K. Translating Videos to Natural Language Using Deep Recurrent Neural Networks. arXiv:1412.4729 [cs.CV]Google Scholar
Index Terms
- Censoring sensors
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