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ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Kejie Li, Daniel DeTone, Yu Fan Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard Newcombe
ODAM is trained to detect and track 3D oriented bounding boxes from posed video. We globally optimize a super-quadric-based 3D object representation of the scene.