The future of Monzo Business Accounts

Over the past four months, we’ve been working hard behind the scenes building a business account. And we’ve tested them with 100 business owners so far, who’ve been giving us lots of useful feedback…

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FACEBOOK Artificial Intelligence recognition software update 2021

DensePose
DensePose, thick mortal disguise estimation, is designed to collude all mortal pixels of an RGB image to a 3D face- grounded representation of the mortal body. This is done through the preface of a large-scale, manually annotated dataset, and a variant of Mask-RCNN, a simple, flexible frame for object case segmentation.
Mapping images to 3D shells
DensePose establishes thick correspondences between RGB images and a face-grounded representation of the mortal body. To do this, AI experimenters erected DensePose-COCO, a large-scale, ground-verity dataset with image-to-face correspondences annotated on COCO images.

The DensePose-COCO dataset was used to train DensePose-RCNN, a CNN- grounded system that delivers thick correspondences “ in the wild”, videlicet in the presence of complex backgrounds, occlusions, and scale variations. Portions of the DensePose exploration design will be open-sourced soon.

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