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SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

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in this paper that predicts a 3D bounding box for each detected object by combining a single keypoint estimate with regressed 3D variables. As a second contribution, we propose a multi-step disentangling approach for constructing the 3D bounding box, which signifificantly improves both training convergence and detection accuracy.in this paper that predicts




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