3D-MOOD is the first end-to-end monocular 3D object detector for open-set classes and novel scenes, achieving SOTA on Omni3D and on new open-set benchmarks.
ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data
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3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
3D-MOOD is the first end-to-end monocular 3D object detector for open-set classes and novel scenes, achieving SOTA on Omni3D and on new open-set benchmarks.