TSM-Pose adds topology extraction and semantic Mamba blocks to point-cloud features, outperforming prior methods on REAL275, CAMERA25, and HouseCat6D for category-level pose estimation.
arXiv preprint arXiv:2507.06662 , year=
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DecomPose introduces difficulty-aware gradient decoupling and asymmetric branching to reduce cross-category optimization contention in category-level 6D pose estimation, reporting better results on REAL275, CAMERA25, and HouseCat6D.
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TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation
TSM-Pose adds topology extraction and semantic Mamba blocks to point-cloud features, outperforming prior methods on REAL275, CAMERA25, and HouseCat6D for category-level pose estimation.
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DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
DecomPose introduces difficulty-aware gradient decoupling and asymmetric branching to reduce cross-category optimization contention in category-level 6D pose estimation, reporting better results on REAL275, CAMERA25, and HouseCat6D.