An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing
Author:
Affiliation:
1. Technische Universität Berlin,Berlin,Germany
Funder
European Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897500.pdf?arnumber=9897500
Reference17 articles.
1. Exploring Models and Data for Remote Sensing Image Caption Generation
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1. Cross-Modal Retrieval: A Review of Methodologies, Datasets, and Future Perspectives;IEEE Access;2024
2. A Fusion Encoder with Multi-Task Guidance for Cross-Modal Text–Image Retrieval in Remote Sensing;Remote Sensing;2023-09-21
3. An End-to-End Framework Based on Vision-Language Fusion for Remote Sensing Cross-Modal Text-Image Retrieval;Mathematics;2023-05-13
4. Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works;IEEE Transactions on Geoscience and Remote Sensing;2023
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