Point-PQAE pre-trains point cloud transformers by cross-reconstructing one randomly cropped and rotated view from another, improving frozen-feature accuracy on ScanObjectNN by up to 7% over Point-MAE.
A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016
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Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Point-PQAE pre-trains point cloud transformers by cross-reconstructing one randomly cropped and rotated view from another, improving frozen-feature accuracy on ScanObjectNN by up to 7% over Point-MAE.