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Putting clear bounds on uncertainty

Researchers from MIT CSAIL predict semantically meaningful and calibrated uncertainty intervals in the latent space of a generative adversarial network to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

Israel
Yaniv-romano
Stephen-bates
Anastasios-angelopoulos
Phillip-isola
Artificial-intelligence-laboratory
Simons-institute
Us-air-force-artificial-intelligence-accelerator
National-science-foundation
Foundations-of-data-science-institute
Israel-science-foundation
Lincoln-laboratory-supercomputing-center

骗过人脸识别系统?AI造出9张"万能人脸",可冒充超40%的人_研究人员

研究人员通过图像生成系统StyleGAN先生成假的人脸图像,然后通过算法和分类器对比筛选出与真实人脸相似度最高的图像,最终获得9张“万能人脸”图像。 这种计算机生成的“万能人脸”作用就像万能钥匙一样…

Chile
United-states
Yang-chang
Guizhou
China
Tel-aviv
Israel
Tel-aviv-university-research
Israel-tel-aviv-university-research
Sohu-view
进行

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