abhi1kumar/DEVIANT

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

C++PythonOtherobject-detectionautonomous-drivingprojective-geometryeccvautonomous-vehicle3d-computer-visiongeometric-deep-learning3d-object-detectionequivariancemonocular-3d-detectionnuscenesone-stage-detectorkitti-3dwaymomonocular-3d-localizationeccv2022eccv-2022depth-equivarianceprojective-manifold
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DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection KITTI Demo | KITTI Eqv Error Demo | Waymo Demo | Project | Talk | Slides | Poster Abhinav Kumar1, Garrick Brazil2, Enrique Corona3, Armin Parchami3, Xiaoming Liu1 1Michigan State University, 2FAIR, Meta AI, 3Ford Motor Company in ECCV 2022 Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary 2D translations $(t_u, t_v)$. However, these vanilla blocks are not equivariant to arbitrary...
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