Stratified Transformer for 3D Point Cloud Segmentation-Reference-Cited by-同舟云学术

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Stratified Transformer for 3D Point Cloud Segmentation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Lai Xin¹,Liu Jianhui²,Jiang Li³,Wang Liwei¹,Zhao Hengshuang²,Liu Shu⁴,Qi Xiaojuan²,Jia Jiaya¹

Affiliation:

1. CUHK

2. HKU

3. MPI Informatics

4. SmartMore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879705.pdf?arnumber=9879705

Reference63 articles.

1. Tangent Convolutions for Dense Prediction in 3D

2. Visual parser: Representing part-whole hierarchies with transformers;sun;arXiv 2107 05790,2021

3. PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things

4. An End-to-End Transformer Model for 3D Object Detection

5. Voxel Transformer for 3D Object Detection

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1. Revisiting 3D point cloud analysis with Markov process;Pattern Recognition;2025-02

2. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

3. LSGRNet: Local Spatial Latent Geometric Relation Learning Network for 3D point cloud semantic segmentation;Computers & Graphics;2024-11

4. LONet: Local Optimization Network for 3D point cloud semantic segmentation;Digital Signal Processing;2024-11

5. Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization;Pattern Recognition;2024-11

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