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Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision

By Youngseok Kim and others
Recent advances in monocular 3D detection leverage a depth estimation network explicitly as an intermediate stage of the 3D detection network. Depth map approaches yield more accurate depth to objects than other methods thanks to the depth estimation network trained on a large-scale dataset. However, depth map approaches can be... Show more
October 29, 2022
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Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
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