2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
ECCV 2022poster
"Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary 2D translations. However, these vanilla blocks are not equivariant to arbitrary 3D translations in the projective manifold. Even then, all monocular 3D detectors use vanilla blocks to obtain the 3D coo…