Multi-view Semantic Information Guidance for Light Field Image Segmentation-Reference-Cited by-同舟云学术

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Multi-view Semantic Information Guidance for Light Field Image Segmentation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Li Yiming¹,Cong Ruixuan¹,Wang Sizhe¹,Zhao Mingyuan¹,Zhang Yang²,Li Fangping¹,Sheng Hao¹

Affiliation:

1. Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,P.R.China,100191

2. Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,P.R.China,100029

Funder

National Natural Science Foundation of China

State Key Laboratory of Software Development Environment

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10209001.pdf?arnumber=10209001

Reference32 articles.

1. CCNet: Criss-Cross Attention for Semantic Segmentation

2. Temporally Distributed Networks for Fast Video Semantic Segmentation

3. Light field rendering

4. Semantic Segmentation With Light Field Imaging and Convolutional Neural Networks

5. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Cited by 1 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. Masked Generative Light Field Prompting for Pixel-Level Structure Segmentations;Research;2024-01

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