3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in point-cloud-video-understanding-1
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Use these libraries to find point-cloud-video-understanding-1 models and implementations
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This paper proposes a novel hierarchical backbone named Point Primitive Transformer (PPTr), which is mainly composed of intra-primitive point transformers and primitive transformers, and shows that PPTr outperforms the previous state of the arts on different tasks.
MaST-Pre is a Masked Spatio-Temporal Structure Prediction method to capture the structure of point cloud videos without human annotations and consists of two self-supervised learning tasks that are forced to model the spatial and temporal structure in point cloud videos.
Adding a benchmark result helps the community track progress.