MWFormer: Mesh Understanding with Window-based Transformer-Reference-Cited by-同舟云学术

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MWFormer: Mesh Understanding with Window-based Transformer

Published:2023-10 Issue: Volume:115 Page:382-391
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Peng Hao-Yang^ORCID,Guo Meng-Hao,Liu Zheng-Ning,Yang Yong-Liang,Mu Tai-Jiang^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference63 articles.

1. Deep residual learning for image recognition;He,2016

2. Very deep convolutional networks for large-scale image recognition;Simonyan,2015

3. Going deeper with convolutions;Szegedy,2015

4. Densely connected convolutional networks;Huang,2017

5. Visual attention network;Guo,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. To-Former: semantic segmentation of transparent object with edge-enhanced transformer;The Visual Computer;2024-05-31

2. Learning Virtual View Selection for 3D Scene Semantic Segmentation;IEEE Transactions on Image Processing;2024

3. Note computers & graphics issue 115;Computers & Graphics;2023-10

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