ScanObjectNN-C
PulseAugur coverage of ScanObjectNN-C — every cluster mentioning ScanObjectNN-C across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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SATOR framework enables backpropagation-free 3D test-time adaptation
Researchers have introduced SATOR, a novel framework for adapting 3D models to new data distributions without requiring backpropagation or multiple forward passes. Unlike previous methods that rely on predefined token p…
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New framework enhances 3D model robustness against point cloud corruption
Researchers have developed a new framework called PSFT to improve the robustness of 3D pre-trained models against noisy and corrupted points in point cloud classification. This method adaptively selects influential poin…
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MAMVI enhances 3D point cloud adaptation with faster inference
Researchers have developed MAMVI, a novel method for 3D test-time adaptation that significantly improves performance on point cloud models facing distribution shifts. Unlike previous sequential optimization approaches, …