Leveraging Multiscale Features and Dynamic Graph Convolution for Robust 6D Pose Estimation
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DOI: 10.1109/tim.2025.3566827
Abstract: Six-degree-of-freedom (6D) pose estimation from RGB-D data remains a challenging task, particularly due to the suboptimal fusion of multimodal features and the effective utilization of depth information. Most of the existing methods often struggle with… read more here.
Keywords: features dynamic; leveraging multiscale; pose estimation; estimation ... See more keywords