Institute of Electrical and Electronics Engineers (IEEE)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

, страницы 21666-21675

Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

Тип публикации: Proceedings Article

Дата публикации: 2024-06-16

Institute of Electrical and Electronics Engineers (IEEE)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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DOI: 10.1109/cvpr52733.2024.02047

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ГОСТ Скопировать

Wang Y. et al. Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed // IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024. pp. 21666-21675.

ГОСТ со всеми авторами (до 50) Скопировать

Wang Y., He X., Peng S., Tan D., Zhou X. Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed // IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024. pp. 21666-21675.

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TY - CPAPER

DO - 10.1109/cvpr52733.2024.02047

UR - https://ieeexplore.ieee.org/document/10655054/

TI - Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

T2 - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AU - Wang, Yifan

AU - He, Xingyi

AU - Peng, Sida

AU - Tan, Dongli

AU - Zhou, Xiaowei

PY - 2024

DA - 2024/06/16

PB - Institute of Electrical and Electronics Engineers (IEEE)

SP - 21666-21675

ER -

BibTex

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@inproceedings{2024_Wang,

author = {Yifan Wang and Xingyi He and Sida Peng and Dongli Tan and Xiaowei Zhou},

title = {Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed},

year = {2024},

pages = {21666--21675},

month = {jun},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)}

}

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Издатель

Institute of Electrical and Electronics Engineers (IEEE)

Журнал

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

core rank A*

SJR

—

CiteScore

—

Impact factor

—

ISSN