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Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison
Self-supervised pre-training via cross-view completion learns strong features for 3D vision from co-visible regions of image pairs. However, the reference view provides little information for reconstructing non-co-visible patches, implicitly yielding a monocular training signal in these regions. We
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