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SCP: Scene Completion Pre-training for 3D Object Detection
In this paper, we propose a Scene Completion Pre-training (SCP) method to enhance the performance of 3D object detectors with less labeled data.
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Graph convolutional networks (GCNs) have been attracting widespread attentions due to their encouraging performance and powerful generalizations.
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