Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene-Reference-Cited by-同舟云学术

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Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Lirong^ORCID,Li Peng^ORCID,Plaza Antonio^ORCID,Ren Peng^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Spanish Ministry of Science and Competitivity

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09552450.pdf?arnumber=9552450

Cited by 12 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. Exploiting sublimated deep features for image retrieval;Pattern Recognition;2024-03

2. Hash-Based Remote Sensing Image Retrieval;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Cascaded Memory Network for Optical Remote Sensing Imagery Cloud Removal;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

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