Aug 23, 2021 · We present ODAM, a system for 3D Object Detection, Association, and Mapping using posed RGB videos. The proposed system relies on a deep ...
We present ODAM, a system for 3D Object. Detection, Association, and Mapping using posed RGB videos. The proposed system relies on a deep learning front- end to ...
We present ODAM, a system for 3D Object. Detection, Association, and Mapping using posed RGB videos. The proposed system relies on a deep learning front- end to ...
Implementation for ODAM: Object Detection, Association, and Mapping using Posed RGB Video. Requirements: conda, env, create -f, environment.yml.
Aug 29, 2021 · We present ODAM, the current best performing 3D detection and mapping RGB-only systems for complex indoor scenes in ScanNet.
ODAM, a system for 3D Object Detection, Association, and Mapping using posed RGB videos, relies on a deep learning front-end to detect 3D objects from a ...
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
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We present ODAM, a system for 3D Object Detection, Association, and Mapping using posed RGB videos. The proposed system relies on a deep learning front-end.
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They generally rely on a 3-step pipeline: (1) object detection in individual 2D frames, along with estimating properties such as 3D rotation, parts of 3D scale, ...
We propose a single-stage, category-level 6-DoF pose estimation algorithm that simultaneously detects and tracks instances of objects within a known category.