Abstract
multi-tasking can learn better representations than single-tasking. Beyond supervised learning, [36] learns a perception model for unknown classes. DGCNN. DGCNN [8] pioneered learning point cloud representations via dynamic graphs. It models point clouds as connected graphs, which are dynamically built using k-nearest neighbors in the latent space.
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