A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Due to the lack of ground truth, our method is fully self-supervised, yet it produces precise depth with a subpixel precision of 1/30th of a pixel; it does not suffer from the common over-smoothing issues ... The proposed loss is optimized using a window-based cost aggregation with an adaptive support weight scheme. ... .: Low compute and fully parallel computer vision with hashmatch. (2017) 47. Wang, S., Fanello, S.R., Rhemann, C., Izadi, S., Kohli, P.: The global patch collider. CVPR (2016) 48. ...arXiv:1807.06009v1 fatcat:g4su4zk37jdpblr4xubxuihbii
Big Data & Society
Despite the potential promise of algorithms or 'AI', we show that even 'well optimized' moderation systems could exacerbate, rather than relieve, many existing problems with content policy as enacted by ... toxic speech; and identifies key political and ethical issues for these systems as the reliance on them grows. ... For instance, feature detection algorithms in computer vision ensure that even if an image is rotated or scaled, the same shapes can be identified when they are upside down or enlarged (Harris and Stephens ...doi:10.1177/2053951719897945 fatcat:x225nettzrbvbkcqretvqstnji