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Geometry Projection is a powerful depth estimation method in monocular 3D object detection.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Pattern-affinitive propagation across depth, surface normal and semantic segmentation
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Object-aware centroid voting for monocular 3d object detection
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Kinematic 3d object detection in monocular video
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Monocular 3d object detection with decoupled structured polygon estimation and height-guided depth estimation
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Smoke: single-stage monocular 3d object detection via keypoint estimation
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Distance-normalized unified representation for monocular 3d object detection
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Amir R Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, and Leonidas J Guibas · 2020
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Categorical depth distribution network for monocular 3d object detection
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