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A Novel Graph-Theoretic Deep Representation Learning Method for
  Multi-Label Remote Sensing Image Retrieval

A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval

1 June 2021
Gencer Sumbul
Begüm Demir
ArXiv (abs)PDFHTML

Papers citing "A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval"

4 / 4 papers shown
Title
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in
  Remote Sensing
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
Jakob Hackstein
Gencer Sumbul
Kai Norman Clasen
Begüm Demir
116
7
0
15 Jan 2024
Generative Reasoning Integrated Label Noise Robust Deep Image
  Representation Learning
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning
Gencer Sumbul
Begüm Demir
102
7
0
02 Dec 2022
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal
  Text-Image Retrieval in Remote Sensing
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing
Georgii Mikriukov
Mahdyar Ravanbakhsh
Begüm Demir
73
41
0
20 Jan 2022
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset
  for Semantic Scene Understanding
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Xiaoman Qi
P. Zhu
Yuebin Wang
Liqiang Zhang
Junhuan Peng
Mengfan Wu
Jialong Chen
Xudong Zhao
Ning Zang
P. Mathiopoulos
119
118
0
01 Oct 2020
1