A Transformer-Based Architecture for High-Resolution Stereo Matching-Reference-Cited by-同舟云学术

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A Transformer-Based Architecture for High-Resolution Stereo Matching

Published:2024 Issue: Volume:10 Page:83-92
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Jia Di¹^ORCID,Cai Peng¹^ORCID,Wang Qian¹^ORCID,Yang Ninghua¹^ORCID

Affiliation:

1. Ordos Research Institute and School of Electronics and Information Engineering, Liaoning Technical University, Liaoning, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6745852/10398876/10387769.pdf?arnumber=10387769

Reference48 articles.

1. Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers

2. HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

3. RVMDE: Radar validated monocular depth estimation for robotics;Hussain,2021

4. ES-Net: An efficient stereo matching network;Huang,2021

5. Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation

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