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An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

Georgii Mikriukov
Mahdyar Ravanbakhsh
Begüm Demir
ArXiv (abs)PDFHTML

Papers citing "An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing"

2 / 2 papers shown
Title
Convolutional autoencoder-based multimodal one-class classification
Convolutional autoencoder-based multimodal one-class classification
Firas Laakom
Fahad Sohrab
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
DRL
47
2
0
25 Sep 2023
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
104
59
0
15 Nov 2022