Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Andretti Naiden"'
Publikováno v:
ICIP
We propose Shift R-CNN, a hybrid model for monocular 3D object detection, which combines deep learning with the power of geometry. We adapt a Faster R-CNN network for regressing initial 2D and 3D object properties and combine it with a least squares
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::552cd7a76be1752380715330abc5b449