HouseCat6D
PulseAugur coverage of HouseCat6D — every cluster mentioning HouseCat6D across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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MemPose framework enhances object pose estimation with memory augmentation · 3 sources tracked
Researchers have introduced MemPose, a novel framework for category-level object pose estimation that utilizes a memory-augmented approach. Unlike previous methods that rely on fixed shape priors or static parameters, M…
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AlignPose method uses multi-view alignment for 6D object pose estimation
Researchers have developed AlignPose, a novel method for estimating the 6D pose of objects using multiple RGB camera views. This approach does not require object-specific training or symmetry annotations, addressing lim…
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DecomPose framework tackles optimization conflicts in 6D object pose estimation
Researchers have developed a new framework called DecomPose to improve category-level 6D object pose estimation. This method addresses the issue of conflicting optimization signals that arise when training a single mode…