183 citations · 310 across the 24 of their papers we have counts for
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cs.CV2018
Digging Into Self-Supervised Monocular Depth Estimation
Clément Godard, Oisin Mac Aodha, Michael Firman +1
Per-pixel ground-truth depth data is challenging to acquire at scale. To overcome this limitation, self-supervised learning has emerged as a promising alternative for training mode…
cs.CV2018
CubeNet: Equivariance to 3D Rotation and Translation
Daniel Worrall, Gabriel Brostow
3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone, will…