This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
Official Implementation of "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection" by Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, and Klaus Dietmayer. data ...
Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...
Abstract: Deformable object manipulation remains a key challenge in developing autonomous robotic systems that can be successfully deployed in real-world scenarios. In this work, we explore the the ...
Putin sparks outrage after calling European leaders 'little pigs' 'It is alright, I will pay': Chinese uncle’s act of kindness for Indian neighbour’s child melts hearts online Family Guy 2025 Holiday ...
Scientists have produced the most detailed 3D map of almost all buildings in the world. The map, called GlobalBuildingAtlas, combines satellite imagery and machine learning to generate 3D models for ...
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