Semantic Segmentation on ScanNet
4 papers with code • 0 benchmarks • 0 datasets
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Libraries
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Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
In this work, we analyze the limitations of the Point Transformer and propose our powerful and efficient Point Transformer V2 model with novel designs that overcome the limitations of previous work.
Bidirectional Projection Network for Cross Dimension Scene Understanding
wbhu/BPNet
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CVPR 2021
Via the \emph{BPM}, complementary 2D and 3D information can interact with each other in multiple architectural levels, such that advantages in these two visual domains can be combined for better scene recognition.
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
isunchy/semi_supervised_3d_segmentation
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We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large amount of unlabeled 3D data.
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
Pointcept/Pointcept
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CVPR 2023
As a pioneering work, PointContrast conducts unsupervised 3D representation learning via leveraging contrastive learning over raw RGB-D frames and proves its effectiveness on various downstream tasks.
