Abstract: Graph-based multi-view clustering encodes multi-view data into sample affinities to find consensus representation, effectively overcoming heterogeneity across different views. However, ...
Given an RGB-D scan and a reconstructed point cloud, MaskClustering leverages multi-view verification to merge 2D instance masks in each frame into 3D instances, achieving strong zero-shot ...
Abstract: Multi-view clustering has garnered considerable attention in recent years owing to its impressive performance in processing high-dimensional data. Most multi-view clustering models still ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results